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February 14, 2024 23:41
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| | Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Daredevil-7B](https://huggingface.co/mlabonne/Daredevil-7B)| 44.85| 76.07| 64.89| 47.07| 58.22| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.38|± | 2.77| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |38.86|± | 1.91| | |
| | | |acc_norm|39.32|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |26.96|± | 2.93| | |
| | | |acc_norm|26.52|± | 2.92| | |
| |agieval_lsat_lr | 0|acc |51.37|± | 2.22| | |
| | | |acc_norm|52.55|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |63.94|± | 2.93| | |
| | | |acc_norm|62.83|± | 2.95| | |
| |agieval_sat_en | 0|acc |79.61|± | 2.81| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |43.69|± | 3.46| | |
| | | |acc_norm|43.69|± | 3.46| | |
| |agieval_sat_math | 0|acc |31.36|± | 3.14| | |
| | | |acc_norm|29.09|± | 3.07| | |
| Average: 44.85% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |62.88|± | 1.41| | |
| | | |acc_norm|65.10|± | 1.39| | |
| |arc_easy | 0|acc |86.24|± | 0.71| | |
| | | |acc_norm|83.63|± | 0.76| | |
| |boolq | 1|acc |88.62|± | 0.56| | |
| |hellaswag | 0|acc |67.23|± | 0.47| | |
| | | |acc_norm|85.24|± | 0.35| | |
| |openbookqa | 0|acc |37.40|± | 2.17| | |
| | | |acc_norm|47.00|± | 2.23| | |
| |piqa | 0|acc |82.86|± | 0.88| | |
| | | |acc_norm|84.33|± | 0.85| | |
| |winogrande | 0|acc |78.53|± | 1.15| | |
| Average: 76.07% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |47.61|± | 1.75| | |
| | | |mc2 |64.89|± | 1.51| | |
| Average: 64.89% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.42|± | 3.59| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|66.94|± | 2.45| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|45.74|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 3.62|± | 0.99| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|31.60|± | 2.08| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.00|± | 1.59| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|52.33|± | 2.89| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|40.00|± | 2.19| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.20|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|73.10|± | 0.99| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.24|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|30.86|± | 1.46| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.38|± | 3.33| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|74.44|± | 1.39| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.60|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.96|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.29|± | 0.92| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|52.33|± | 2.89| | |
| Average: 47.07% | |
| Average score: 58.22% | |
| Elapsed time: 02:29:59| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Marcoro14-7B-slerp](https://huggingface.co/mlabonne/Marcoro14-7B-slerp)| 44.66| 76.24| 64.15| 45.64| 57.67| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.38|± | 2.77| | |
| | | |acc_norm|24.41|± | 2.70| | |
| |agieval_logiqa_en | 0|acc |38.25|± | 1.91| | |
| | | |acc_norm|39.32|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |24.35|± | 2.84| | |
| | | |acc_norm|25.22|± | 2.87| | |
| |agieval_lsat_lr | 0|acc |50.00|± | 2.22| | |
| | | |acc_norm|50.59|± | 2.22| | |
| |agieval_lsat_rc | 0|acc |62.83|± | 2.95| | |
| | | |acc_norm|62.08|± | 2.96| | |
| |agieval_sat_en | 0|acc |79.61|± | 2.81| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |45.15|± | 3.48| | |
| | | |acc_norm|45.63|± | 3.48| | |
| |agieval_sat_math | 0|acc |33.18|± | 3.18| | |
| | | |acc_norm|30.45|± | 3.11| | |
| Average: 44.66% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |63.91|± | 1.40| | |
| | | |acc_norm|64.93|± | 1.39| | |
| |arc_easy | 0|acc |86.07|± | 0.71| | |
| | | |acc_norm|83.75|± | 0.76| | |
| |boolq | 1|acc |88.56|± | 0.56| | |
| |hellaswag | 0|acc |67.31|± | 0.47| | |
| | | |acc_norm|85.28|± | 0.35| | |
| |openbookqa | 0|acc |36.40|± | 2.15| | |
| | | |acc_norm|48.20|± | 2.24| | |
| |piqa | 0|acc |82.59|± | 0.88| | |
| | | |acc_norm|84.39|± | 0.85| | |
| |winogrande | 0|acc |78.53|± | 1.15| | |
| Average: 76.24% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |46.88|± | 1.75| | |
| | | |mc2 |64.15|± | 1.52| | |
| Average: 64.15% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.32|± | 3.61| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|66.40|± | 2.46| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|45.35|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|20.33|± | 2.13| | |
| | | |exact_str_match | 4.74|± | 1.12| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|30.00|± | 2.05| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|21.43|± | 1.55| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|52.33|± | 2.89| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|39.20|± | 2.19| | |
| |bigbench_navigate | 0|multiple_choice_grade|53.90|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|72.15|± | 1.00| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|52.46|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|25.75|± | 1.38| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.38|± | 3.33| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|73.63|± | 1.40| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|45.70|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.44|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.51|± | 0.93| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|52.33|± | 2.89| | |
| Average: 45.64% | |
| Average score: 57.67% | |
| Elapsed time: 02:07:54| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[ActualNextGen-7B](https://huggingface.co/CultriX/ActualNextGen-7B)| 45.95| 76.78| 68.91| 48.04| 59.92| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.17|± | 2.80| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |39.63|± | 1.92| | |
| | | |acc_norm|39.78|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |26.96|± | 2.93| | |
| | | |acc_norm|28.70|± | 2.99| | |
| |agieval_lsat_lr | 0|acc |52.16|± | 2.21| | |
| | | |acc_norm|53.14|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|65.06|± | 2.91| | |
| |agieval_sat_en | 0|acc |80.58|± | 2.76| | |
| | | |acc_norm|80.58|± | 2.76| | |
| |agieval_sat_en_without_passage| 0|acc |45.63|± | 3.48| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |33.64|± | 3.19| | |
| | | |acc_norm|30.45|± | 3.11| | |
| Average: 45.95% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.78|± | 1.39| | |
| | | |acc_norm|66.72|± | 1.38| | |
| |arc_easy | 0|acc |86.87|± | 0.69| | |
| | | |acc_norm|83.50|± | 0.76| | |
| |boolq | 1|acc |88.23|± | 0.56| | |
| |hellaswag | 0|acc |68.26|± | 0.46| | |
| | | |acc_norm|86.08|± | 0.35| | |
| |openbookqa | 0|acc |39.00|± | 2.18| | |
| | | |acc_norm|48.20|± | 2.24| | |
| |piqa | 0|acc |83.57|± | 0.86| | |
| | | |acc_norm|85.09|± | 0.83| | |
| |winogrande | 0|acc |79.64|± | 1.13| | |
| Average: 76.78% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |54.10|± | 1.74| | |
| | | |mc2 |68.91|± | 1.51| | |
| Average: 68.91% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.84|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.85|± | 2.47| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|44.96|± | 3.10| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.01|± | 2.19| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.80|± | 2.13| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.57|± | 1.61| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|46.40|± | 2.23| | |
| |bigbench_navigate | 0|multiple_choice_grade|57.30|± | 1.56| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|72.05|± | 1.00| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|53.12|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.06|± | 1.48| | |
| |bigbench_snarks | 0|multiple_choice_grade|70.72|± | 3.39| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|74.65|± | 1.39| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|48.70|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.64|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.66|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84| | |
| Average: 48.04% | |
| Average score: 59.92% | |
| Elapsed time: 01:38:11| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[MergeTrix-7B-v2](https://huggingface.co/CultriX/MergeTrix-7B-v2)| 44.7| 77.66| 67.52| 48.23| 59.53| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |25.20|± | 2.73| | |
| | | |acc_norm|24.80|± | 2.72| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|40.09|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |24.78|± | 2.85| | |
| | | |acc_norm|23.48|± | 2.80| | |
| |agieval_lsat_lr | 0|acc |50.59|± | 2.22| | |
| | | |acc_norm|52.35|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.06|± | 2.91| | |
| | | |acc_norm|65.06|± | 2.91| | |
| |agieval_sat_en | 0|acc |79.61|± | 2.81| | |
| | | |acc_norm|80.10|± | 2.79| | |
| |agieval_sat_en_without_passage| 0|acc |42.23|± | 3.45| | |
| | | |acc_norm|41.26|± | 3.44| | |
| |agieval_sat_math | 0|acc |32.73|± | 3.17| | |
| | | |acc_norm|30.45|± | 3.11| | |
| Average: 44.7% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.15|± | 1.37| | |
| | | |acc_norm|67.83|± | 1.37| | |
| |arc_easy | 0|acc |86.83|± | 0.69| | |
| | | |acc_norm|82.49|± | 0.78| | |
| |boolq | 1|acc |88.26|± | 0.56| | |
| |hellaswag | 0|acc |70.20|± | 0.46| | |
| | | |acc_norm|87.15|± | 0.33| | |
| |openbookqa | 0|acc |38.40|± | 2.18| | |
| | | |acc_norm|48.80|± | 2.24| | |
| |piqa | 0|acc |83.62|± | 0.86| | |
| | | |acc_norm|85.20|± | 0.83| | |
| |winogrande | 0|acc |83.90|± | 1.03| | |
| Average: 77.66% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |53.98|± | 1.74| | |
| | | |mc2 |67.52|± | 1.53| | |
| Average: 67.52% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.42|± | 3.59| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.23|± | 2.50| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|46.12|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.28|± | 0.28| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.20|± | 2.11| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.14|± | 1.60| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|55.67|± | 2.87| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|48.80|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|54.70|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.55|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.46|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.06|± | 1.48| | |
| |bigbench_snarks | 0|multiple_choice_grade|78.45|± | 3.06| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|74.95|± | 1.38| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.10|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.36|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.49|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|55.67|± | 2.87| | |
| Average: 48.23% | |
| Average score: 59.53% | |
| Elapsed time: 02:30:58| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NextGen-7B](https://huggingface.co/CultriX/NextGen-7B)| 44.96| 77.45| 71.17| 48.38| 60.49| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.56|± | 2.81| | |
| | | |acc_norm|26.38|± | 2.77| | |
| |agieval_logiqa_en | 0|acc |38.56|± | 1.91| | |
| | | |acc_norm|39.63|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |22.61|± | 2.76| | |
| | | |acc_norm|21.74|± | 2.73| | |
| |agieval_lsat_lr | 0|acc |51.76|± | 2.21| | |
| | | |acc_norm|52.16|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|65.06|± | 2.91| | |
| |agieval_sat_en | 0|acc |80.58|± | 2.76| | |
| | | |acc_norm|80.10|± | 2.79| | |
| |agieval_sat_en_without_passage| 0|acc |45.63|± | 3.48| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |31.36|± | 3.14| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 44.96% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.98|± | 1.37| | |
| | | |acc_norm|66.98|± | 1.37| | |
| |arc_easy | 0|acc |87.63|± | 0.68| | |
| | | |acc_norm|83.29|± | 0.77| | |
| |boolq | 1|acc |88.10|± | 0.57| | |
| |hellaswag | 0|acc |69.51|± | 0.46| | |
| | | |acc_norm|86.95|± | 0.34| | |
| |openbookqa | 0|acc |39.80|± | 2.19| | |
| | | |acc_norm|49.80|± | 2.24| | |
| |piqa | 0|acc |83.35|± | 0.87| | |
| | | |acc_norm|85.36|± | 0.82| | |
| |winogrande | 0|acc |81.69|± | 1.09| | |
| Average: 77.45% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.28|± | 1.73| | |
| | | |mc2 |71.17|± | 1.48| | |
| Average: 71.17% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.37|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.69|± | 2.51| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|46.90|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.28|± | 2.20| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.80|± | 2.13| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.29|± | 1.62| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.67|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|46.60|± | 2.23| | |
| |bigbench_navigate | 0|multiple_choice_grade|58.30|± | 1.56| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|72.10|± | 1.00| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.46|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|33.67|± | 1.50| | |
| |bigbench_snarks | 0|multiple_choice_grade|71.82|± | 3.35| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.25|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.80|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.32|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.77|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.67|± | 2.86| | |
| Average: 48.38% | |
| Average score: 60.49% | |
| Elapsed time: 01:43:04| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-7B-v7](https://huggingface.co/CultriX/Wernicke-7B-v7)| 44.54| 77.18| 71.02| 48.93| 60.42| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.56|± | 2.81| | |
| | | |acc_norm|25.98|± | 2.76| | |
| |agieval_logiqa_en | 0|acc |40.25|± | 1.92| | |
| | | |acc_norm|39.94|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|23.91|± | 2.82| | |
| |agieval_lsat_lr | 0|acc |51.37|± | 2.22| | |
| | | |acc_norm|51.76|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|64.68|± | 2.92| | |
| |agieval_sat_en | 0|acc |78.64|± | 2.86| | |
| | | |acc_norm|79.13|± | 2.84| | |
| |agieval_sat_en_without_passage| 0|acc |42.23|± | 3.45| | |
| | | |acc_norm|42.72|± | 3.45| | |
| |agieval_sat_math | 0|acc |31.36|± | 3.14| | |
| | | |acc_norm|28.18|± | 3.04| | |
| Average: 44.54% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.06|± | 1.37| | |
| | | |acc_norm|66.72|± | 1.38| | |
| |arc_easy | 0|acc |87.46|± | 0.68| | |
| | | |acc_norm|83.29|± | 0.77| | |
| |boolq | 1|acc |88.26|± | 0.56| | |
| |hellaswag | 0|acc |69.46|± | 0.46| | |
| | | |acc_norm|86.81|± | 0.34| | |
| |openbookqa | 0|acc |39.80|± | 2.19| | |
| | | |acc_norm|48.20|± | 2.24| | |
| |piqa | 0|acc |83.68|± | 0.86| | |
| | | |acc_norm|85.53|± | 0.82| | |
| |winogrande | 0|acc |81.45|± | 1.09| | |
| Average: 77.18% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.53|± | 1.73| | |
| | | |mc2 |71.02|± | 1.49| | |
| Average: 71.02% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.89|± | 3.59| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.04|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|49.61|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|35.60|± | 2.14| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.86|± | 1.63| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|47.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.70|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|72.05|± | 1.00| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.91|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|31.76|± | 1.47| | |
| |bigbench_snarks | 0|multiple_choice_grade|70.17|± | 3.41| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|76.06|± | 1.36| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|54.20|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.08|± | 1.17| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.71|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84| | |
| Average: 48.93% | |
| Average score: 60.42% | |
| Elapsed time: 01:21:37| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuralTrix-bf16](https://huggingface.co/CultriX/NeuralTrix-bf16)| 44.43| 76.43| 80.18| 49.23| 62.57| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |25.59|± | 2.74| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |37.48|± | 1.90| | |
| | | |acc_norm|37.33|± | 1.90| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|24.35|± | 2.84| | |
| |agieval_lsat_lr | 0|acc |53.33|± | 2.21| | |
| | | |acc_norm|54.31|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|65.80|± | 2.90| | |
| |agieval_sat_en | 0|acc |77.67|± | 2.91| | |
| | | |acc_norm|78.16|± | 2.89| | |
| |agieval_sat_en_without_passage| 0|acc |42.23|± | 3.45| | |
| | | |acc_norm|40.78|± | 3.43| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|29.55|± | 3.08| | |
| Average: 44.43% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.87|± | 1.39| | |
| | | |acc_norm|66.89|± | 1.38| | |
| |arc_easy | 0|acc |84.85|± | 0.74| | |
| | | |acc_norm|77.65|± | 0.85| | |
| |boolq | 1|acc |87.06|± | 0.59| | |
| |hellaswag | 0|acc |69.69|± | 0.46| | |
| | | |acc_norm|87.44|± | 0.33| | |
| |openbookqa | 0|acc |40.60|± | 2.20| | |
| | | |acc_norm|50.00|± | 2.24| | |
| |piqa | 0|acc |82.59|± | 0.88| | |
| | | |acc_norm|83.84|± | 0.86| | |
| |winogrande | 0|acc |82.08|± | 1.08| | |
| Average: 76.43% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |63.89|± | 1.68| | |
| | | |mc2 |80.18|± | 1.33| | |
| Average: 80.18% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|60.53|± | 3.56| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|59.62|± | 2.56| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|59.69|± | 3.06| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|31.80|± | 2.08| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.14|± | 1.57| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|51.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|53.30|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|66.65|± | 1.05| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|56.03|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|38.98|± | 1.54| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.93|± | 3.31| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|74.44|± | 1.39| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|53.20|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.60|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.71|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84| | |
| Average: 49.23% | |
| Average score: 62.57% | |
| Elapsed time: 01:42:42| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuralTrix-7B-v1](https://huggingface.co/CultriX/NeuralTrix-7B-v1)| 44.75| 77.61| 75.44| 49.82| 61.91| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.38|± | 2.77| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |39.02|± | 1.91| | |
| | | |acc_norm|39.17|± | 1.91| | |
| |agieval_lsat_ar | 0|acc |24.78|± | 2.85| | |
| | | |acc_norm|23.48|± | 2.80| | |
| |agieval_lsat_lr | 0|acc |52.94|± | 2.21| | |
| | | |acc_norm|52.94|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |78.16|± | 2.89| | |
| | | |acc_norm|78.16|± | 2.89| | |
| |agieval_sat_en_without_passage| 0|acc |42.23|± | 3.45| | |
| | | |acc_norm|42.72|± | 3.45| | |
| |agieval_sat_math | 0|acc |33.18|± | 3.18| | |
| | | |acc_norm|30.91|± | 3.12| | |
| Average: 44.75% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.83|± | 1.37| | |
| | | |acc_norm|68.77|± | 1.35| | |
| |arc_easy | 0|acc |86.78|± | 0.69| | |
| | | |acc_norm|81.19|± | 0.80| | |
| |boolq | 1|acc |87.77|± | 0.57| | |
| |hellaswag | 0|acc |70.92|± | 0.45| | |
| | | |acc_norm|87.88|± | 0.33| | |
| |openbookqa | 0|acc |40.40|± | 2.20| | |
| | | |acc_norm|49.40|± | 2.24| | |
| |piqa | 0|acc |83.13|± | 0.87| | |
| | | |acc_norm|85.26|± | 0.83| | |
| |winogrande | 0|acc |83.03|± | 1.05| | |
| Average: 77.61% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |60.59|± | 1.71| | |
| | | |mc2 |75.44|± | 1.43| | |
| Average: 75.44% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.95|± | 3.58| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|62.87|± | 2.52| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|55.43|± | 3.10| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 2.51|± | 0.83| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.40|± | 2.11| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.14|± | 1.60| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|60.67|± | 2.83| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|56.40|± | 2.22| | |
| |bigbench_navigate | 0|multiple_choice_grade|53.80|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|70.55|± | 1.02| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.69|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|39.88|± | 1.55| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.93|± | 3.31| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.05|± | 1.38| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|53.00|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.96|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.54|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|60.67|± | 2.83| | |
| Average: 49.82% | |
| Average score: 61.91% | |
| Elapsed time: 01:34:51| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-7B-dpo](https://huggingface.co/CultriX/Wernicke-7B-dpo)| 45.09| 77.15| 73.95| 49.05| 61.31| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |25.20|± | 2.73| | |
| | | |acc_norm|24.41|± | 2.70| | |
| |agieval_logiqa_en | 0|acc |39.94|± | 1.92| | |
| | | |acc_norm|39.94|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |24.35|± | 2.84| | |
| | | |acc_norm|25.65|± | 2.89| | |
| |agieval_lsat_lr | 0|acc |50.59|± | 2.22| | |
| | | |acc_norm|51.37|± | 2.22| | |
| |agieval_lsat_rc | 0|acc |65.43|± | 2.91| | |
| | | |acc_norm|64.68|± | 2.92| | |
| |agieval_sat_en | 0|acc |79.13|± | 2.84| | |
| | | |acc_norm|79.13|± | 2.84| | |
| |agieval_sat_en_without_passage| 0|acc |43.69|± | 3.46| | |
| | | |acc_norm|43.69|± | 3.46| | |
| |agieval_sat_math | 0|acc |34.09|± | 3.20| | |
| | | |acc_norm|31.82|± | 3.15| | |
| Average: 45.09% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.70|± | 1.39| | |
| | | |acc_norm|67.15|± | 1.37| | |
| |arc_easy | 0|acc |86.20|± | 0.71| | |
| | | |acc_norm|81.27|± | 0.80| | |
| |boolq | 1|acc |88.01|± | 0.57| | |
| |hellaswag | 0|acc |68.62|± | 0.46| | |
| | | |acc_norm|86.97|± | 0.34| | |
| |openbookqa | 0|acc |39.20|± | 2.19| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |82.64|± | 0.88| | |
| | | |acc_norm|85.42|± | 0.82| | |
| |winogrande | 0|acc |82.00|± | 1.08| | |
| Average: 77.15% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |59.00|± | 1.72| | |
| | | |mc2 |73.95|± | 1.45| | |
| Average: 73.95% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|61.58|± | 3.54| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|62.87|± | 2.52| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|54.65|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.80|± | 2.12| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.71|± | 1.58| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.67|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|46.40|± | 2.23| | |
| |bigbench_navigate | 0|multiple_choice_grade|54.20|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.45|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.46|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.36|± | 1.48| | |
| |bigbench_snarks | 0|multiple_choice_grade|77.35|± | 3.12| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.76|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|54.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.48|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.94|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.67|± | 2.86| | |
| Average: 49.05% | |
| Average score: 61.31% | |
| Elapsed time: 01:50:57| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[SymbioTrix-v1](https://huggingface.co/CultriX/SymbioTrix-v1)| 44.94| 76.99| 71.06| 48.47| 60.37| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |38.86|± | 1.91| | |
| | | |acc_norm|39.32|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|23.48|± | 2.80| | |
| |agieval_lsat_lr | 0|acc |51.76|± | 2.21| | |
| | | |acc_norm|51.57|± | 2.22| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|66.17|± | 2.89| | |
| |agieval_sat_en | 0|acc |80.58|± | 2.76| | |
| | | |acc_norm|80.58|± | 2.76| | |
| |agieval_sat_en_without_passage| 0|acc |43.69|± | 3.46| | |
| | | |acc_norm|43.20|± | 3.46| | |
| |agieval_sat_math | 0|acc |32.73|± | 3.17| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 44.94% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.92|± | 1.36| | |
| | | |acc_norm|67.32|± | 1.37| | |
| |arc_easy | 0|acc |87.25|± | 0.68| | |
| | | |acc_norm|82.74|± | 0.78| | |
| |boolq | 1|acc |88.17|± | 0.56| | |
| |hellaswag | 0|acc |70.00|± | 0.46| | |
| | | |acc_norm|86.74|± | 0.34| | |
| |openbookqa | 0|acc |39.40|± | 2.19| | |
| | | |acc_norm|48.60|± | 2.24| | |
| |piqa | 0|acc |83.68|± | 0.86| | |
| | | |acc_norm|85.09|± | 0.83| | |
| |winogrande | 0|acc |80.27|± | 1.12| | |
| Average: 76.99% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.89|± | 1.73| | |
| | | |mc2 |71.06|± | 1.49| | |
| Average: 71.06% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.32|± | 3.61| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.77|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|45.74|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|36.00|± | 2.15| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.86|± | 1.63| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.33|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|49.00|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|57.20|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.15|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.69|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.77|± | 1.49| | |
| |bigbench_snarks | 0|multiple_choice_grade|70.17|± | 3.41| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.56|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.70|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.00|± | 1.17| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.31|± | 0.94| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.33|± | 2.84| | |
| Average: 48.47% | |
| Average score: 60.37% | |
| Elapsed time: 01:27:03| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[SymbioTrix-v3](https://huggingface.co/CultriX/SymbioTrix-v3)| 45.39| 76.73| 69.28| 47.55| 59.74| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|23.62|± | 2.67| | |
| |agieval_logiqa_en | 0|acc |39.48|± | 1.92| | |
| | | |acc_norm|39.17|± | 1.91| | |
| |agieval_lsat_ar | 0|acc |23.48|± | 2.80| | |
| | | |acc_norm|26.09|± | 2.90| | |
| |agieval_lsat_lr | 0|acc |51.37|± | 2.22| | |
| | | |acc_norm|52.35|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.17|± | 2.89| | |
| | | |acc_norm|66.17|± | 2.89| | |
| |agieval_sat_en | 0|acc |81.07|± | 2.74| | |
| | | |acc_norm|80.10|± | 2.79| | |
| |agieval_sat_en_without_passage| 0|acc |45.63|± | 3.48| | |
| | | |acc_norm|45.63|± | 3.48| | |
| |agieval_sat_math | 0|acc |33.64|± | 3.19| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 45.39% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.53|± | 1.39| | |
| | | |acc_norm|67.15|± | 1.37| | |
| |arc_easy | 0|acc |86.36|± | 0.70| | |
| | | |acc_norm|83.04|± | 0.77| | |
| |boolq | 1|acc |88.17|± | 0.56| | |
| |hellaswag | 0|acc |68.34|± | 0.46| | |
| | | |acc_norm|85.97|± | 0.35| | |
| |openbookqa | 0|acc |38.40|± | 2.18| | |
| | | |acc_norm|47.60|± | 2.24| | |
| |piqa | 0|acc |83.30|± | 0.87| | |
| | | |acc_norm|85.42|± | 0.82| | |
| |winogrande | 0|acc |79.79|± | 1.13| | |
| Average: 76.73% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |54.10|± | 1.74| | |
| | | |mc2 |69.28|± | 1.50| | |
| Average: 69.28% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|55.79|± | 3.61| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.58|± | 2.48| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|43.02|± | 3.09| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|35.80|± | 2.15| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.71|± | 1.61| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.33|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|43.20|± | 2.22| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.70|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.80|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|53.57|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|29.86|± | 1.45| | |
| |bigbench_snarks | 0|multiple_choice_grade|70.17|± | 3.41| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|73.83|± | 1.40| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|54.10|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.16|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.31|± | 0.94| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.33|± | 2.86| | |
| Average: 47.55% | |
| Average score: 59.74% | |
| Elapsed time: 01:42:05| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-7B-v1](https://huggingface.co/CultriX/Wernicke-7B-v1)| 45.59| 77.36| 71.46| 48.49| 60.73| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |25.98|± | 2.76| | |
| | | |acc_norm|24.80|± | 2.72| | |
| |agieval_logiqa_en | 0|acc |39.48|± | 1.92| | |
| | | |acc_norm|39.78|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |24.35|± | 2.84| | |
| | | |acc_norm|25.65|± | 2.89| | |
| |agieval_lsat_lr | 0|acc |51.37|± | 2.22| | |
| | | |acc_norm|52.35|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |67.29|± | 2.87| | |
| | | |acc_norm|66.91|± | 2.87| | |
| |agieval_sat_en | 0|acc |80.58|± | 2.76| | |
| | | |acc_norm|80.10|± | 2.79| | |
| |agieval_sat_en_without_passage| 0|acc |47.57|± | 3.49| | |
| | | |acc_norm|45.15|± | 3.48| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 45.59% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |68.00|± | 1.36| | |
| | | |acc_norm|67.92|± | 1.36| | |
| |arc_easy | 0|acc |87.37|± | 0.68| | |
| | | |acc_norm|83.33|± | 0.76| | |
| |boolq | 1|acc |88.29|± | 0.56| | |
| |hellaswag | 0|acc |69.44|± | 0.46| | |
| | | |acc_norm|86.85|± | 0.34| | |
| |openbookqa | 0|acc |39.40|± | 2.19| | |
| | | |acc_norm|49.00|± | 2.24| | |
| |piqa | 0|acc |83.79|± | 0.86| | |
| | | |acc_norm|85.09|± | 0.83| | |
| |winogrande | 0|acc |81.06|± | 1.10| | |
| Average: 77.36% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.65|± | 1.73| | |
| | | |mc2 |71.46|± | 1.49| | |
| Average: 71.46% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.84|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.69|± | 2.51| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|46.51|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.00|± | 2.12| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.29|± | 1.62| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.67|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|48.40|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|57.10|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|72.30|± | 1.00| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|53.12|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|35.67|± | 1.52| | |
| |bigbench_snarks | 0|multiple_choice_grade|70.72|± | 3.39| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.46|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|53.50|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.04|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.77|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.67|± | 2.86| | |
| Average: 48.49% | |
| Average score: 60.73% | |
| Elapsed time: 01:34:51| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuralTrix-v3-fp16](https://huggingface.co/CultriX/NeuralTrix-v3-fp16)| 43.76| 76.79| 77.92| 50.07| 62.14| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.38|± | 2.77| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |38.56|± | 1.91| | |
| | | |acc_norm|38.25|± | 1.91| | |
| |agieval_lsat_ar | 0|acc |22.61|± | 2.76| | |
| | | |acc_norm|20.87|± | 2.69| | |
| |agieval_lsat_lr | 0|acc |53.92|± | 2.21| | |
| | | |acc_norm|55.29|± | 2.20| | |
| |agieval_lsat_rc | 0|acc |65.06|± | 2.91| | |
| | | |acc_norm|63.94|± | 2.93| | |
| |agieval_sat_en | 0|acc |76.70|± | 2.95| | |
| | | |acc_norm|77.18|± | 2.93| | |
| |agieval_sat_en_without_passage| 0|acc |41.75|± | 3.44| | |
| | | |acc_norm|40.29|± | 3.43| | |
| |agieval_sat_math | 0|acc |32.73|± | 3.17| | |
| | | |acc_norm|29.09|± | 3.07| | |
| Average: 43.76% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.38|± | 1.38| | |
| | | |acc_norm|67.41|± | 1.37| | |
| |arc_easy | 0|acc |85.48|± | 0.72| | |
| | | |acc_norm|79.08|± | 0.83| | |
| |boolq | 1|acc |87.25|± | 0.58| | |
| |hellaswag | 0|acc |70.84|± | 0.45| | |
| | | |acc_norm|87.80|± | 0.33| | |
| |openbookqa | 0|acc |41.20|± | 2.20| | |
| | | |acc_norm|49.00|± | 2.24| | |
| |piqa | 0|acc |82.97|± | 0.88| | |
| | | |acc_norm|84.22|± | 0.85| | |
| |winogrande | 0|acc |82.79|± | 1.06| | |
| Average: 76.79% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |62.79|± | 1.69| | |
| | | |mc2 |77.92|± | 1.37| | |
| Average: 77.92% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|62.63|± | 3.52| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|60.70|± | 2.55| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|60.47|± | 3.05| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.40|± | 2.24| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|30.40|± | 2.06| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|21.00|± | 1.54| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|58.00|± | 2.85| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|61.60|± | 2.18| | |
| |bigbench_navigate | 0|multiple_choice_grade|52.00|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|66.85|± | 1.05| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.24|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|43.09|± | 1.57| | |
| |bigbench_snarks | 0|multiple_choice_grade|74.59|± | 3.25| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|76.47|± | 1.35| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|54.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.36|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|20.00|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|58.00|± | 2.85| | |
| Average: 50.07% | |
| Average score: 62.14% | |
| Elapsed time: 02:30:44| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-7B-v5](https://huggingface.co/CultriX/Wernicke-7B-v5)| 45.12| 77.44| 71.64| 48.51| 60.68| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|26.77|± | 2.78| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|39.02|± | 1.91| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|24.78|± | 2.85| | |
| |agieval_lsat_lr | 0|acc |52.35|± | 2.21| | |
| | | |acc_norm|53.33|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|64.68|± | 2.92| | |
| |agieval_sat_en | 0|acc |80.10|± | 2.79| | |
| | | |acc_norm|79.13|± | 2.84| | |
| |agieval_sat_en_without_passage| 0|acc |44.66|± | 3.47| | |
| | | |acc_norm|44.17|± | 3.47| | |
| |agieval_sat_math | 0|acc |31.82|± | 3.15| | |
| | | |acc_norm|29.09|± | 3.07| | |
| Average: 45.12% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.92|± | 1.36| | |
| | | |acc_norm|67.92|± | 1.36| | |
| |arc_easy | 0|acc |87.29|± | 0.68| | |
| | | |acc_norm|83.50|± | 0.76| | |
| |boolq | 1|acc |88.23|± | 0.56| | |
| |hellaswag | 0|acc |69.22|± | 0.46| | |
| | | |acc_norm|86.75|± | 0.34| | |
| |openbookqa | 0|acc |39.60|± | 2.19| | |
| | | |acc_norm|49.60|± | 2.24| | |
| |piqa | 0|acc |83.51|± | 0.87| | |
| | | |acc_norm|85.36|± | 0.82| | |
| |winogrande | 0|acc |80.74|± | 1.11| | |
| Average: 77.44% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.41|± | 1.73| | |
| | | |mc2 |71.64|± | 1.48| | |
| Average: 71.64% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.37|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.04|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|48.06|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.28|± | 2.20| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.40|± | 2.13| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.86|± | 1.63| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.00|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|45.20|± | 2.23| | |
| |bigbench_navigate | 0|multiple_choice_grade|57.10|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.55|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.80|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.06|± | 1.48| | |
| |bigbench_snarks | 0|multiple_choice_grade|71.27|± | 3.37| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.46|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.60|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.16|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.89|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.00|± | 2.84| | |
| Average: 48.51% | |
| Average score: 60.68% | |
| Elapsed time: 01:57:53| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Subnet6Model3](https://huggingface.co/deepnet/Subnet6Model3)| 38.86| 70.83| 55.86| 38.09| 50.91| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |23.62|± | 2.67| | |
| | | |acc_norm|25.59|± | 2.74| | |
| |agieval_logiqa_en | 0|acc |35.33|± | 1.87| | |
| | | |acc_norm|36.56|± | 1.89| | |
| |agieval_lsat_ar | 0|acc |22.17|± | 2.75| | |
| | | |acc_norm|22.61|± | 2.76| | |
| |agieval_lsat_lr | 0|acc |41.57|± | 2.18| | |
| | | |acc_norm|41.96|± | 2.19| | |
| |agieval_lsat_rc | 0|acc |49.07|± | 3.05| | |
| | | |acc_norm|46.84|± | 3.05| | |
| |agieval_sat_en | 0|acc |70.39|± | 3.19| | |
| | | |acc_norm|66.02|± | 3.31| | |
| |agieval_sat_en_without_passage| 0|acc |41.26|± | 3.44| | |
| | | |acc_norm|41.26|± | 3.44| | |
| |agieval_sat_math | 0|acc |38.18|± | 3.28| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 38.86% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |51.28|± | 1.46| | |
| | | |acc_norm|55.97|± | 1.45| | |
| |arc_easy | 0|acc |81.73|± | 0.79| | |
| | | |acc_norm|79.55|± | 0.83| | |
| |boolq | 1|acc |84.25|± | 0.64| | |
| |hellaswag | 0|acc |61.14|± | 0.49| | |
| | | |acc_norm|79.71|± | 0.40| | |
| |openbookqa | 0|acc |32.00|± | 2.09| | |
| | | |acc_norm|42.80|± | 2.21| | |
| |piqa | 0|acc |80.96|± | 0.92| | |
| | | |acc_norm|81.18|± | 0.91| | |
| |winogrande | 0|acc |72.38|± | 1.26| | |
| Average: 70.83% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |39.05|± | 1.71| | |
| | | |mc2 |55.86|± | 1.51| | |
| Average: 55.86% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|55.26|± | 3.62| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|60.16|± | 2.55| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|34.50|± | 2.97| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|20.06|± | 2.12| | |
| | | |exact_str_match |15.88|± | 1.93| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|26.80|± | 1.98| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|19.57|± | 1.50| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|48.67|± | 2.89| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|33.60|± | 2.11| | |
| |bigbench_navigate | 0|multiple_choice_grade|50.00|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|58.90|± | 1.10| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|36.16|± | 2.27| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|12.42|± | 1.04| | |
| |bigbench_snarks | 0|multiple_choice_grade|56.91|± | 3.69| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|58.11|± | 1.57| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|27.30|± | 1.41| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.16|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|16.40|± | 0.89| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|48.67|± | 2.89| | |
| Average: 38.09% | |
| Average score: 50.91% | |
| Elapsed time: 02:46:32| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[MergeTrix-v3](https://huggingface.co/CultriX/MergeTrix-v3)| 45.17| 77.56| 73.1| 49.48| 61.33| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |29.13|± | 2.86| | |
| | | |acc_norm|27.56|± | 2.81| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|39.48|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|23.04|± | 2.78| | |
| |agieval_lsat_lr | 0|acc |51.96|± | 2.21| | |
| | | |acc_norm|52.55|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |79.13|± | 2.84| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |43.69|± | 3.46| | |
| | | |acc_norm|43.20|± | 3.46| | |
| |agieval_sat_math | 0|acc |31.82|± | 3.15| | |
| | | |acc_norm|30.45|± | 3.11| | |
| Average: 45.17% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |68.26|± | 1.36| | |
| | | |acc_norm|67.58|± | 1.37| | |
| |arc_easy | 0|acc |87.33|± | 0.68| | |
| | | |acc_norm|82.62|± | 0.78| | |
| |boolq | 1|acc |87.89|± | 0.57| | |
| |hellaswag | 0|acc |69.57|± | 0.46| | |
| | | |acc_norm|87.29|± | 0.33| | |
| |openbookqa | 0|acc |40.00|± | 2.19| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |83.57|± | 0.86| | |
| | | |acc_norm|85.85|± | 0.81| | |
| |winogrande | 0|acc |82.48|± | 1.07| | |
| Average: 77.56% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |59.24|± | 1.72| | |
| | | |mc2 |73.10|± | 1.47| | |
| Average: 73.1% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.37|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.31|± | 2.48| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|47.29|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.28|± | 0.28| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.40|± | 2.13| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|25.14|± | 1.64| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|60.33|± | 2.83| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|52.00|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.80|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.35|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|57.14|± | 2.34| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|38.28|± | 1.54| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.38|± | 3.33| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|74.85|± | 1.38| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.80|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.88|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.94|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|60.33|± | 2.83| | |
| Average: 49.48% | |
| Average score: 61.33% | |
| Elapsed time: 01:27:54| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[SymbioTrix-v2](https://huggingface.co/CultriX/SymbioTrix-v2)| 44.99| 77.46| 71.13| 48.55| 60.53| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.56|± | 2.81| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|39.48|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |25.22|± | 2.87| | |
| | | |acc_norm|25.22|± | 2.87| | |
| |agieval_lsat_lr | 0|acc |51.96|± | 2.21| | |
| | | |acc_norm|51.96|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.17|± | 2.89| | |
| | | |acc_norm|66.17|± | 2.89| | |
| |agieval_sat_en | 0|acc |79.13|± | 2.84| | |
| | | |acc_norm|78.16|± | 2.89| | |
| |agieval_sat_en_without_passage| 0|acc |45.63|± | 3.48| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |32.73|± | 3.17| | |
| | | |acc_norm|29.09|± | 3.07| | |
| Average: 44.99% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.98|± | 1.37| | |
| | | |acc_norm|68.09|± | 1.36| | |
| |arc_easy | 0|acc |87.21|± | 0.69| | |
| | | |acc_norm|82.87|± | 0.77| | |
| |boolq | 1|acc |88.29|± | 0.56| | |
| |hellaswag | 0|acc |69.62|± | 0.46| | |
| | | |acc_norm|86.97|± | 0.34| | |
| |openbookqa | 0|acc |39.40|± | 2.19| | |
| | | |acc_norm|49.00|± | 2.24| | |
| |piqa | 0|acc |83.41|± | 0.87| | |
| | | |acc_norm|85.47|± | 0.82| | |
| |winogrande | 0|acc |81.53|± | 1.09| | |
| Average: 77.46% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.65|± | 1.73| | |
| | | |mc2 |71.13|± | 1.49| | |
| Average: 71.13% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.84|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.69|± | 2.51| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|48.45|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.60|± | 2.13| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.00|± | 1.62| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|58.33|± | 2.85| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|49.80|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.90|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|72.10|± | 1.00| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.80|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|30.06|± | 1.45| | |
| |bigbench_snarks | 0|multiple_choice_grade|71.82|± | 3.35| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.96|± | 1.36| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.20|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.72|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.71|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|58.33|± | 2.85| | |
| Average: 48.55% | |
| Average score: 60.53% | |
| Elapsed time: 01:27:56| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuralTrix-v4-bf16](https://huggingface.co/CultriX/NeuralTrix-v4-bf16)| 44.22| 76.33| 79.5| 49.43| 62.37| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|26.77|± | 2.78| | |
| |agieval_logiqa_en | 0|acc |37.33|± | 1.90| | |
| | | |acc_norm|37.48|± | 1.90| | |
| |agieval_lsat_ar | 0|acc |21.30|± | 2.71| | |
| | | |acc_norm|20.43|± | 2.66| | |
| |agieval_lsat_lr | 0|acc |52.16|± | 2.21| | |
| | | |acc_norm|53.14|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.17|± | 2.89| | |
| | | |acc_norm|66.17|± | 2.89| | |
| |agieval_sat_en | 0|acc |76.70|± | 2.95| | |
| | | |acc_norm|76.70|± | 2.95| | |
| |agieval_sat_en_without_passage| 0|acc |41.26|± | 3.44| | |
| | | |acc_norm|40.78|± | 3.43| | |
| |agieval_sat_math | 0|acc |33.18|± | 3.18| | |
| | | |acc_norm|32.27|± | 3.16| | |
| Average: 44.22% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.53|± | 1.39| | |
| | | |acc_norm|67.06|± | 1.37| | |
| |arc_easy | 0|acc |84.39|± | 0.74| | |
| | | |acc_norm|77.44|± | 0.86| | |
| |boolq | 1|acc |87.13|± | 0.59| | |
| |hellaswag | 0|acc |70.81|± | 0.45| | |
| | | |acc_norm|87.88|± | 0.33| | |
| |openbookqa | 0|acc |40.80|± | 2.20| | |
| | | |acc_norm|49.00|± | 2.24| | |
| |piqa | 0|acc |82.15|± | 0.89| | |
| | | |acc_norm|83.08|± | 0.87| | |
| |winogrande | 0|acc |82.72|± | 1.06| | |
| Average: 76.33% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |63.65|± | 1.68| | |
| | | |mc2 |79.50|± | 1.35| | |
| Average: 79.5% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|60.53|± | 3.56| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|58.27|± | 2.57| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|59.69|± | 3.06| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|31.00|± | 2.07| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|20.57|± | 1.53| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.33|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|54.80|± | 2.23| | |
| |bigbench_navigate | 0|multiple_choice_grade|54.00|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|65.75|± | 1.06| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.80|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|40.78|± | 1.56| | |
| |bigbench_snarks | 0|multiple_choice_grade|75.14|± | 3.22| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|77.08|± | 1.34| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.00|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.20|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.60|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.33|± | 2.84| | |
| Average: 49.43% | |
| Average score: 62.37% | |
| Elapsed time: 01:38:07| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-7B-v2](https://huggingface.co/CultriX/Wernicke-7B-v2)| 45.59| 77.4| 71.23| 48.38| 60.65| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.56|± | 2.81| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|39.48|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |25.65|± | 2.89| | |
| | | |acc_norm|25.22|± | 2.87| | |
| |agieval_lsat_lr | 0|acc |53.33|± | 2.21| | |
| | | |acc_norm|53.73|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |80.10|± | 2.79| | |
| | | |acc_norm|79.13|± | 2.84| | |
| |agieval_sat_en_without_passage| 0|acc |47.09|± | 3.49| | |
| | | |acc_norm|45.63|± | 3.48| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|30.91|± | 3.12| | |
| Average: 45.59% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.64|± | 1.38| | |
| | | |acc_norm|67.83|± | 1.37| | |
| |arc_easy | 0|acc |87.37|± | 0.68| | |
| | | |acc_norm|83.25|± | 0.77| | |
| |boolq | 1|acc |88.29|± | 0.56| | |
| |hellaswag | 0|acc |69.39|± | 0.46| | |
| | | |acc_norm|86.86|± | 0.34| | |
| |openbookqa | 0|acc |40.00|± | 2.19| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |83.62|± | 0.86| | |
| | | |acc_norm|84.98|± | 0.83| | |
| |winogrande | 0|acc |81.37|± | 1.09| | |
| Average: 77.4% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |56.92|± | 1.73| | |
| | | |mc2 |71.23|± | 1.48| | |
| Average: 71.23% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.37|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.96|± | 2.50| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|46.90|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|35.00|± | 2.14| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|25.00|± | 1.64| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.33|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|47.40|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.60|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.15|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.24|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.57|± | 1.48| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.93|± | 3.31| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.66|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.30|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.72|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|20.51|± | 0.97| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.33|± | 2.86| | |
| Average: 48.38% | |
| Average score: 60.65% | |
| Elapsed time: 01:51:21| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |--------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[DPOB-INMTOB-7B](https://huggingface.co/paulml/DPOB-INMTOB-7B)| 45.09| 77.37| 76.81| 49.18| 62.11| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|24.41|± | 2.70| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|40.09|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |26.52|± | 2.92| | |
| | | |acc_norm|24.78|± | 2.85| | |
| |agieval_lsat_lr | 0|acc |54.12|± | 2.21| | |
| | | |acc_norm|54.51|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|66.54|± | 2.88| | |
| |agieval_sat_en | 0|acc |78.16|± | 2.89| | |
| | | |acc_norm|78.16|± | 2.89| | |
| |agieval_sat_en_without_passage| 0|acc |43.20|± | 3.46| | |
| | | |acc_norm|42.23|± | 3.45| | |
| |agieval_sat_math | 0|acc |32.73|± | 3.17| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 45.09% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.49|± | 1.37| | |
| | | |acc_norm|68.00|± | 1.36| | |
| |arc_easy | 0|acc |86.41|± | 0.70| | |
| | | |acc_norm|80.26|± | 0.82| | |
| |boolq | 1|acc |87.61|± | 0.58| | |
| |hellaswag | 0|acc |70.15|± | 0.46| | |
| | | |acc_norm|87.49|± | 0.33| | |
| |openbookqa | 0|acc |40.00|± | 2.19| | |
| | | |acc_norm|50.00|± | 2.24| | |
| |piqa | 0|acc |83.46|± | 0.87| | |
| | | |acc_norm|85.58|± | 0.82| | |
| |winogrande | 0|acc |82.64|± | 1.06| | |
| Average: 77.37% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |61.32|± | 1.7| | |
| | | |mc2 |76.81|± | 1.4| | |
| Average: 76.81% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.95|± | 3.58| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|61.79|± | 2.53| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|55.43|± | 3.10| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.40|± | 2.11| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.43|± | 1.60| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.33|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|50.80|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.50|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|69.55|± | 1.03| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.02|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|38.68|± | 1.54| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.93|± | 3.31| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.25|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.00|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.80|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.26|± | 0.94| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.33|± | 2.84| | |
| Average: 49.18% | |
| Average score: 62.11% | |
| Elapsed time: 02:06:29| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuTrixOmniBe-DPO](https://huggingface.co/Kukedlc/NeuTrixOmniBe-DPO)| 44.32| 77.33| 77.43| 49.17| 62.06| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|39.63|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |24.35|± | 2.84| | |
| | | |acc_norm|23.04|± | 2.78| | |
| |agieval_lsat_lr | 0|acc |53.33|± | 2.21| | |
| | | |acc_norm|55.10|± | 2.20| | |
| |agieval_lsat_rc | 0|acc |64.68|± | 2.92| | |
| | | |acc_norm|63.57|± | 2.94| | |
| |agieval_sat_en | 0|acc |77.67|± | 2.91| | |
| | | |acc_norm|77.67|± | 2.91| | |
| |agieval_sat_en_without_passage| 0|acc |42.23|± | 3.45| | |
| | | |acc_norm|40.78|± | 3.43| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|29.55|± | 3.08| | |
| Average: 44.32% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.06|± | 1.37| | |
| | | |acc_norm|67.83|± | 1.37| | |
| |arc_easy | 0|acc |86.24|± | 0.71| | |
| | | |acc_norm|79.71|± | 0.83| | |
| |boolq | 1|acc |87.52|± | 0.58| | |
| |hellaswag | 0|acc |70.11|± | 0.46| | |
| | | |acc_norm|87.67|± | 0.33| | |
| |openbookqa | 0|acc |40.40|± | 2.20| | |
| | | |acc_norm|50.20|± | 2.24| | |
| |piqa | 0|acc |83.13|± | 0.87| | |
| | | |acc_norm|85.31|± | 0.83| | |
| |winogrande | 0|acc |83.03|± | 1.05| | |
| Average: 77.33% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |61.57|± | 1.70| | |
| | | |mc2 |77.43|± | 1.39| | |
| Average: 77.43% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|59.47|± | 3.57| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|61.79|± | 2.53| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|56.59|± | 3.09| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.00|± | 2.09| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.57|± | 1.58| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.33|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|52.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|55.80|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|69.35|± | 1.03| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.36|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|37.47|± | 1.53| | |
| |bigbench_snarks | 0|multiple_choice_grade|74.03|± | 3.27| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.35|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|54.00|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.56|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.57|± | 0.93| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.33|± | 2.86| | |
| Average: 49.17% | |
| Average score: 62.06% | |
| Elapsed time: 03:24:27| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[OmniBeagleTrix-SLERP-7B](https://huggingface.co/CultriX/OmniBeagleTrix-SLERP-7B)| 44.8| 77| 77.09| 49.9| 62.2| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|25.59|± | 2.74| | |
| |agieval_logiqa_en | 0|acc |37.48|± | 1.90| | |
| | | |acc_norm|37.48|± | 1.90| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|23.48|± | 2.80| | |
| |agieval_lsat_lr | 0|acc |53.33|± | 2.21| | |
| | | |acc_norm|54.90|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.43|± | 2.91| | |
| | | |acc_norm|65.06|± | 2.91| | |
| |agieval_sat_en | 0|acc |78.64|± | 2.86| | |
| | | |acc_norm|78.16|± | 2.89| | |
| |agieval_sat_en_without_passage| 0|acc |44.66|± | 3.47| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |32.73|± | 3.17| | |
| | | |acc_norm|29.09|± | 3.07| | |
| Average: 44.8% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.78|± | 1.39| | |
| | | |acc_norm|67.66|± | 1.37| | |
| |arc_easy | 0|acc |86.70|± | 0.70| | |
| | | |acc_norm|81.14|± | 0.80| | |
| |boolq | 1|acc |87.34|± | 0.58| | |
| |hellaswag | 0|acc |68.18|± | 0.46| | |
| | | |acc_norm|86.88|± | 0.34| | |
| |openbookqa | 0|acc |39.00|± | 2.18| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |83.41|± | 0.87| | |
| | | |acc_norm|85.58|± | 0.82| | |
| |winogrande | 0|acc |81.22|± | 1.10| | |
| Average: 77.0% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |61.20|± | 1.71| | |
| | | |mc2 |77.09|± | 1.37| | |
| Average: 77.09% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|61.05|± | 3.55| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.14|± | 2.51| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|56.59|± | 3.09| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.96|± | 2.26| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.60|± | 2.11| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.86|± | 1.61| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|60.00|± | 2.83| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|49.40|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|55.60|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|70.15|± | 1.02| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.80|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|39.98|± | 1.55| | |
| |bigbench_snarks | 0|multiple_choice_grade|73.48|± | 3.29| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.15|± | 1.38| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|53.30|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.20|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|20.00|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|60.00|± | 2.83| | |
| Average: 49.9% | |
| Average score: 62.2% | |
| Elapsed time: 01:36:39| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[CombinaTrix-7B](https://huggingface.co/CultriX/CombinaTrix-7B)| 45.52| 77.42| 71.12| 48.24| 60.58| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|26.38|± | 2.77| | |
| |agieval_logiqa_en | 0|acc |39.63|± | 1.92| | |
| | | |acc_norm|39.63|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |24.78|± | 2.85| | |
| | | |acc_norm|24.35|± | 2.84| | |
| |agieval_lsat_lr | 0|acc |53.53|± | 2.21| | |
| | | |acc_norm|53.92|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.91|± | 2.87| | |
| | | |acc_norm|66.91|± | 2.87| | |
| |agieval_sat_en | 0|acc |80.58|± | 2.76| | |
| | | |acc_norm|80.58|± | 2.76| | |
| |agieval_sat_en_without_passage| 0|acc |44.17|± | 3.47| | |
| | | |acc_norm|44.17|± | 3.47| | |
| |agieval_sat_math | 0|acc |31.82|± | 3.15| | |
| | | |acc_norm|28.18|± | 3.04| | |
| Average: 45.52% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |68.00|± | 1.36| | |
| | | |acc_norm|68.17|± | 1.36| | |
| |arc_easy | 0|acc |87.46|± | 0.68| | |
| | | |acc_norm|83.63|± | 0.76| | |
| |boolq | 1|acc |88.23|± | 0.56| | |
| |hellaswag | 0|acc |69.69|± | 0.46| | |
| | | |acc_norm|86.81|± | 0.34| | |
| |openbookqa | 0|acc |39.00|± | 2.18| | |
| | | |acc_norm|48.80|± | 2.24| | |
| |piqa | 0|acc |83.51|± | 0.87| | |
| | | |acc_norm|85.31|± | 0.83| | |
| |winogrande | 0|acc |80.98|± | 1.10| | |
| Average: 77.42% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.41|± | 1.73| | |
| | | |mc2 |71.12|± | 1.49| | |
| Average: 71.12% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.32|± | 3.61| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.50|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|45.74|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.40|± | 2.13| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.14|± | 1.62| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|58.33|± | 2.85| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|49.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.60|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.55|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.80|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|33.27|± | 1.49| | |
| |bigbench_snarks | 0|multiple_choice_grade|70.17|± | 3.41| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.66|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|49.60|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.00|± | 1.17| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.49|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|58.33|± | 2.85| | |
| Average: 48.24% | |
| Average score: 60.58% | |
| Elapsed time: 02:28:47| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3)| 45.12| 77.48| 71.76| 48.48| 60.71| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.17|± | 2.80| | |
| | | |acc_norm|24.02|± | 2.69| | |
| |agieval_logiqa_en | 0|acc |39.48|± | 1.92| | |
| | | |acc_norm|39.48|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |23.04|± | 2.78| | |
| | | |acc_norm|23.91|± | 2.82| | |
| |agieval_lsat_lr | 0|acc |52.16|± | 2.21| | |
| | | |acc_norm|52.55|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.91|± | 2.87| | |
| | | |acc_norm|65.80|± | 2.90| | |
| |agieval_sat_en | 0|acc |80.10|± | 2.79| | |
| | | |acc_norm|80.10|± | 2.79| | |
| |agieval_sat_en_without_passage| 0|acc |45.15|± | 3.48| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |31.82|± | 3.15| | |
| | | |acc_norm|30.45|± | 3.11| | |
| Average: 45.12% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.47|± | 1.38| | |
| | | |acc_norm|67.66|± | 1.37| | |
| |arc_easy | 0|acc |87.46|± | 0.68| | |
| | | |acc_norm|84.22|± | 0.75| | |
| |boolq | 1|acc |88.10|± | 0.57| | |
| |hellaswag | 0|acc |68.05|± | 0.47| | |
| | | |acc_norm|86.49|± | 0.34| | |
| |openbookqa | 0|acc |39.60|± | 2.19| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |83.19|± | 0.87| | |
| | | |acc_norm|85.42|± | 0.82| | |
| |winogrande | 0|acc |81.29|± | 1.10| | |
| Average: 77.48% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |56.30|± | 1.74| | |
| | | |mc2 |71.76|± | 1.46| | |
| Average: 71.76% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|55.79|± | 3.61| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.58|± | 2.48| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|46.51|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 1.11|± | 0.55| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.00|± | 2.12| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.71|± | 1.61| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.33|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|48.20|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|55.60|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.80|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.91|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|31.76|± | 1.47| | |
| |bigbench_snarks | 0|multiple_choice_grade|71.82|± | 3.35| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.86|± | 1.36| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.12|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|20.11|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.33|± | 2.84| | |
| Average: 48.48% | |
| Average score: 60.71% | |
| Elapsed time: 01:27:48| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |--------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[OmniBeagle-7B](https://huggingface.co/mlabonne/OmniBeagle-7B)| 45.66| 77.38| 75.03| 50.03| 62.02| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |28.74|± | 2.85| | |
| | | |acc_norm|27.17|± | 2.80| | |
| |agieval_logiqa_en | 0|acc |39.02|± | 1.91| | |
| | | |acc_norm|39.48|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |24.35|± | 2.84| | |
| | | |acc_norm|23.04|± | 2.78| | |
| |agieval_lsat_lr | 0|acc |54.12|± | 2.21| | |
| | | |acc_norm|54.31|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.43|± | 2.91| | |
| | | |acc_norm|66.17|± | 2.89| | |
| |agieval_sat_en | 0|acc |79.13|± | 2.84| | |
| | | |acc_norm|79.13|± | 2.84| | |
| |agieval_sat_en_without_passage| 0|acc |45.63|± | 3.48| | |
| | | |acc_norm|43.69|± | 3.46| | |
| |agieval_sat_math | 0|acc |34.09|± | 3.20| | |
| | | |acc_norm|32.27|± | 3.16| | |
| Average: 45.66% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.98|± | 1.37| | |
| | | |acc_norm|68.26|± | 1.36| | |
| |arc_easy | 0|acc |87.12|± | 0.69| | |
| | | |acc_norm|82.95|± | 0.77| | |
| |boolq | 1|acc |88.07|± | 0.57| | |
| |hellaswag | 0|acc |69.01|± | 0.46| | |
| | | |acc_norm|87.14|± | 0.33| | |
| |openbookqa | 0|acc |39.00|± | 2.18| | |
| | | |acc_norm|49.40|± | 2.24| | |
| |piqa | 0|acc |83.03|± | 0.88| | |
| | | |acc_norm|85.53|± | 0.82| | |
| |winogrande | 0|acc |80.27|± | 1.12| | |
| Average: 77.38% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |60.59|± | 1.71| | |
| | | |mc2 |75.03|± | 1.42| | |
| Average: 75.03% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.32|± | 3.61| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.69|± | 2.51| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|51.94|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.96|± | 2.26| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.60|± | 2.13| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|25.14|± | 1.64| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|60.33|± | 2.83| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|53.40|± | 2.23| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.30|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|69.55|± | 1.03| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.58|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|40.58|± | 1.56| | |
| |bigbench_snarks | 0|multiple_choice_grade|74.03|± | 3.27| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|76.27|± | 1.36| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|55.40|± | 1.57| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.20|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.89|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|60.33|± | 2.83| | |
| Average: 50.03% | |
| Average score: 62.02% | |
| Elapsed time: 03:03:21| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-7B-v8](https://huggingface.co/CultriX/Wernicke-7B-v8)| 45.32| 77.67| 71.84| 48.49| 60.83| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|26.38|± | 2.77| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|39.78|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |23.48|± | 2.80| | |
| | | |acc_norm|23.48|± | 2.80| | |
| |agieval_lsat_lr | 0|acc |51.37|± | 2.22| | |
| | | |acc_norm|52.35|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|65.06|± | 2.91| | |
| |agieval_sat_en | 0|acc |78.16|± | 2.89| | |
| | | |acc_norm|78.64|± | 2.86| | |
| |agieval_sat_en_without_passage| 0|acc |44.17|± | 3.47| | |
| | | |acc_norm|43.20|± | 3.46| | |
| |agieval_sat_math | 0|acc |35.00|± | 3.22| | |
| | | |acc_norm|33.64|± | 3.19| | |
| Average: 45.32% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.70|± | 1.39| | |
| | | |acc_norm|68.00|± | 1.36| | |
| |arc_easy | 0|acc |86.66|± | 0.70| | |
| | | |acc_norm|82.62|± | 0.78| | |
| |boolq | 1|acc |88.10|± | 0.57| | |
| |hellaswag | 0|acc |69.00|± | 0.46| | |
| | | |acc_norm|87.13|± | 0.33| | |
| |openbookqa | 0|acc |38.60|± | 2.18| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |82.81|± | 0.88| | |
| | | |acc_norm|85.20|± | 0.83| | |
| |winogrande | 0|acc |83.43|± | 1.05| | |
| Average: 77.67% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |56.67|± | 1.73| | |
| | | |mc2 |71.84|± | 1.47| | |
| Average: 71.84% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.89|± | 3.59| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|62.60|± | 2.52| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|48.06|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.40|± | 2.24| | |
| | | |exact_str_match | 9.19|± | 1.53| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.60|± | 2.10| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.14|± | 1.60| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|56.33|± | 2.87| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|49.20|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|52.60|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|70.95|± | 1.02| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.02|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|35.17|± | 1.51| | |
| |bigbench_snarks | 0|multiple_choice_grade|79.01|± | 3.04| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.56|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|53.00|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.36|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.54|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|56.33|± | 2.87| | |
| Average: 48.49% | |
| Average score: 60.83% | |
| Elapsed time: 00:21:37| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[phi-2](https://huggingface.co/microsoft/phi-2)| 27.96| 70.84| 44.46| 35.17| 44.61| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |19.69|± | 2.50| | |
| | | |acc_norm|20.87|± | 2.55| | |
| |agieval_logiqa_en | 0|acc |25.65|± | 1.71| | |
| | | |acc_norm|32.10|± | 1.83| | |
| |agieval_lsat_ar | 0|acc |22.17|± | 2.75| | |
| | | |acc_norm|20.87|± | 2.69| | |
| |agieval_lsat_lr | 0|acc |30.20|± | 2.03| | |
| | | |acc_norm|28.43|± | 2.00| | |
| |agieval_lsat_rc | 0|acc |28.62|± | 2.76| | |
| | | |acc_norm|28.62|± | 2.76| | |
| |agieval_sat_en | 0|acc |50.00|± | 3.49| | |
| | | |acc_norm|35.44|± | 3.34| | |
| |agieval_sat_en_without_passage| 0|acc |38.83|± | 3.40| | |
| | | |acc_norm|30.10|± | 3.20| | |
| |agieval_sat_math | 0|acc |31.36|± | 3.14| | |
| | | |acc_norm|27.27|± | 3.01| | |
| Average: 27.96% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |53.07|± | 1.46| | |
| | | |acc_norm|54.01|± | 1.46| | |
| |arc_easy | 0|acc |80.01|± | 0.82| | |
| | | |acc_norm|78.24|± | 0.85| | |
| |boolq | 1|acc |83.46|± | 0.65| | |
| |hellaswag | 0|acc |55.79|± | 0.50| | |
| | | |acc_norm|73.85|± | 0.44| | |
| |openbookqa | 0|acc |40.60|± | 2.20| | |
| | | |acc_norm|51.40|± | 2.24| | |
| |piqa | 0|acc |78.56|± | 0.96| | |
| | | |acc_norm|79.38|± | 0.94| | |
| |winogrande | 0|acc |75.53|± | 1.21| | |
| Average: 70.84% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |30.97|± | 1.62| | |
| | | |mc2 |44.46|± | 1.51| | |
| Average: 44.46% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|53.68|± | 3.63| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|58.81|± | 2.57| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|36.43|± | 3.00| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|10.03|± | 1.59| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|24.00|± | 1.91| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|18.00|± | 1.45| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|40.67|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|41.00|± | 2.20| | |
| |bigbench_navigate | 0|multiple_choice_grade|50.80|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|52.35|± | 1.12| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|27.23|± | 2.11| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|25.15|± | 1.37| | |
| |bigbench_snarks | 0|multiple_choice_grade|57.46|± | 3.69| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|50.30|± | 1.59| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|15.60|± | 1.15| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|17.60|± | 1.08| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|13.26|± | 0.81| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|40.67|± | 2.84| | |
| Average: 35.17% | |
| Average score: 44.61% | |
| Elapsed time: 01:20:58| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[MergeTrix-v6](https://huggingface.co/CultriX/MergeTrix-v6)| 45.54| 77.39| 72.01| 48.61| 60.89| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |28.74|± | 2.85| | |
| | | |acc_norm|26.38|± | 2.77| | |
| |agieval_logiqa_en | 0|acc |40.25|± | 1.92| | |
| | | |acc_norm|40.09|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |24.35|± | 2.84| | |
| | | |acc_norm|25.22|± | 2.87| | |
| |agieval_lsat_lr | 0|acc |51.96|± | 2.21| | |
| | | |acc_norm|52.55|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|65.80|± | 2.90| | |
| |agieval_sat_en | 0|acc |79.61|± | 2.81| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |44.66|± | 3.47| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |31.36|± | 3.14| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 45.54% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.21|± | 1.38| | |
| | | |acc_norm|67.66|± | 1.37| | |
| |arc_easy | 0|acc |87.29|± | 0.68| | |
| | | |acc_norm|83.21|± | 0.77| | |
| |boolq | 1|acc |87.95|± | 0.57| | |
| |hellaswag | 0|acc |68.90|± | 0.46| | |
| | | |acc_norm|86.72|± | 0.34| | |
| |openbookqa | 0|acc |39.40|± | 2.19| | |
| | | |acc_norm|49.40|± | 2.24| | |
| |piqa | 0|acc |83.46|± | 0.87| | |
| | | |acc_norm|85.69|± | 0.82| | |
| |winogrande | 0|acc |81.14|± | 1.10| | |
| Average: 77.39% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.65|± | 1.73| | |
| | | |mc2 |72.01|± | 1.48| | |
| Average: 72.01% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.84|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.23|± | 2.50| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|48.06|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.40|± | 2.24| | |
| | | |exact_str_match | 0.28|± | 0.28| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.80|± | 2.12| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.00|± | 1.59| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.33|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|47.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|57.00|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.20|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.58|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|33.07|± | 1.49| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.93|± | 3.31| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.66|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.00|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.16|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.83|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.33|± | 2.84| | |
| Average: 48.61% | |
| Average score: 60.89% | |
| Elapsed time: 01:33:55| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)| 45.29| 77.2| 72.72| 48.71| 60.98| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|25.59|± | 2.74| | |
| |agieval_logiqa_en | 0|acc |39.48|± | 1.92| | |
| | | |acc_norm|40.09|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |25.22|± | 2.87| | |
| | | |acc_norm|24.78|± | 2.85| | |
| |agieval_lsat_lr | 0|acc |51.57|± | 2.22| | |
| | | |acc_norm|52.55|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|65.06|± | 2.91| | |
| |agieval_sat_en | 0|acc |78.16|± | 2.89| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |44.66|± | 3.47| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 45.29% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |64.93|± | 1.39| | |
| | | |acc_norm|68.00|± | 1.36| | |
| |arc_easy | 0|acc |86.41|± | 0.70| | |
| | | |acc_norm|83.16|± | 0.77| | |
| |boolq | 1|acc |87.68|± | 0.57| | |
| |hellaswag | 0|acc |67.65|± | 0.47| | |
| | | |acc_norm|86.72|± | 0.34| | |
| |openbookqa | 0|acc |38.80|± | 2.18| | |
| | | |acc_norm|48.60|± | 2.24| | |
| |piqa | 0|acc |83.08|± | 0.87| | |
| | | |acc_norm|85.09|± | 0.83| | |
| |winogrande | 0|acc |81.14|± | 1.10| | |
| Average: 77.2% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |55.20|± | 1.74| | |
| | | |mc2 |72.72|± | 1.44| | |
| Average: 72.72% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|61.05|± | 3.55| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.77|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|50.39|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 3.06|± | 0.91| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.40|± | 2.11| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.14|± | 1.57| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.33|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|47.80|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.00|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.05|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.02|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|30.36|± | 1.46| | |
| |bigbench_snarks | 0|multiple_choice_grade|75.69|± | 3.20| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|76.17|± | 1.36| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.92|± | 1.21| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.77|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.33|± | 2.86| | |
| Average: 48.71% | |
| Average score: 60.98% | |
| Elapsed time: 02:44:20| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |----------------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[dpo-binarized-NeutrixOmnibe-7B](https://huggingface.co/eren23/dpo-binarized-NeutrixOmnibe-7B)| 44.96| 77.3| 77.24| 49.1| 62.15| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|24.80|± | 2.72| | |
| |agieval_logiqa_en | 0|acc |39.48|± | 1.92| | |
| | | |acc_norm|40.40|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |26.09|± | 2.90| | |
| | | |acc_norm|25.22|± | 2.87| | |
| |agieval_lsat_lr | 0|acc |53.73|± | 2.21| | |
| | | |acc_norm|54.51|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.06|± | 2.91| | |
| | | |acc_norm|65.80|± | 2.90| | |
| |agieval_sat_en | 0|acc |77.18|± | 2.93| | |
| | | |acc_norm|77.67|± | 2.91| | |
| |agieval_sat_en_without_passage| 0|acc |43.69|± | 3.46| | |
| | | |acc_norm|41.75|± | 3.44| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|29.55|± | 3.08| | |
| Average: 44.96% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.98|± | 1.37| | |
| | | |acc_norm|67.83|± | 1.37| | |
| |arc_easy | 0|acc |86.36|± | 0.70| | |
| | | |acc_norm|80.01|± | 0.82| | |
| |boolq | 1|acc |87.61|± | 0.58| | |
| |hellaswag | 0|acc |70.16|± | 0.46| | |
| | | |acc_norm|87.49|± | 0.33| | |
| |openbookqa | 0|acc |40.40|± | 2.20| | |
| | | |acc_norm|50.20|± | 2.24| | |
| |piqa | 0|acc |83.24|± | 0.87| | |
| | | |acc_norm|85.42|± | 0.82| | |
| |winogrande | 0|acc |82.56|± | 1.07| | |
| Average: 77.3% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |61.57|± | 1.70| | |
| | | |mc2 |77.24|± | 1.39| | |
| Average: 77.24% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.95|± | 3.58| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|62.33|± | 2.53| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|55.81|± | 3.10| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.40|± | 2.10| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.86|± | 1.59| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.00|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|50.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.10|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|69.40|± | 1.03| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.69|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|37.78|± | 1.54| | |
| |bigbench_snarks | 0|multiple_choice_grade|73.48|± | 3.29| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.46|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.70|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.48|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.86|± | 0.94| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.00|± | 2.84| | |
| Average: 49.1% | |
| Average score: 62.15% | |
| Elapsed time: 03:52:21 | |
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| List of quantitative trading firms | |
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| <li><a href="https://www.3redpartners.com" rel="nofollow">3Red Partners</a></li> | |
| <li><a href="https://www.aprioriinvestments.com" rel="nofollow">A Priori Investments</a></li> | |
| <li><a href="https://www.acadian-asset.com" rel="nofollow">Acadian Asset Management</a></li> | |
| <li><a href="https://akunacapital.com" rel="nofollow">Akuna Capital</a></li> | |
| <li><a href="https://www.albatrosslabs.io" rel="nofollow">Albatross Labs</a></li> | |
| <li><a href="https://www.alpha-grep.com" rel="nofollow">AlphaGrep</a></li> | |
| <li><a href="https://www.alphasimplex.com" rel="nofollow">AlphaSimplex</a></li> | |
| <li><a href="https://www.alphataraxia.com" rel="nofollow">Alphataraxia Management</a></li> | |
| <li><a href="http://www.alyeskagroup.com" rel="nofollow">Alyeska Investment Group</a></li> | |
| <li><a href="https://ansatz.capital" rel="nofollow">Ansatz Capital</a></li> | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-postgresql-is-enough" class="anchor" aria-hidden="true" tabindex="-1" href="#postgresql-is-enough"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>PostgreSQL is Enough</h1> | |
| <ul dir="auto"> | |
| <li><a href="https://sive.rs/pg" rel="nofollow">Simplify: move code into database functions</a></li> | |
| <li><a href="https://www.amazingcto.com/postgres-for-everything/" rel="nofollow">Just Use Postgres for Everything</a></li> | |
| <li><a href="https://www.2ndquadrant.com/en/blog/postgresql-is-the-worlds-best-database/" rel="nofollow">PostgreSQL is the worlds’ best database</a></li> | |
| <li><a href="https://news.ycombinator.com/item?id=39273954" rel="nofollow">Hacker News discussion</a></li> | |
| </ul> | |
| <h2 dir="auto"><a id="user-content-background-and-cron-jobs" class="anchor" aria-hidden="true" tabindex="-1" href="#background-and-cron-jobs"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Background and Cron Jobs</h2> | |
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| / <a href="/ajitid/1bbbf24e47669c5c571571ca3eb189e6"><strong class="css-truncate-target">trigger_scan.py</strong></a> | |
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| for <a href="https://github.com/debridmediamanager/zurg-testing/issues/72">https://github.com/debridmediamanager/zurg-testing/issues/72</a> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Python" data-tagsearch-path="trigger_scan.py"> | |
| <tr> | |
| <td id="file-trigger_scan-py-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-trigger_scan-py-LC1" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>os</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-trigger_scan-py-LC2" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>subprocess</span> <span class=pl-k>import</span> <span class=pl-s1>check_output</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-trigger_scan-py-LC3" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>pprint</span> <span class=pl-k>import</span> <span class=pl-s1>pprint</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-trigger_scan-py-LC4" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L5" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="5"></td> | |
| <td id="file-trigger_scan-py-LC5" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>plexapi</span>.<span class=pl-s1>server</span> <span class=pl-k>import</span> <span class=pl-v>PlexServer</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L6" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="6"></td> | |
| <td id="file-trigger_scan-py-LC6" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L7" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="7"></td> | |
| <td id="file-trigger_scan-py-LC7" class="blob-code blob-code-inner js-file-line"><span class=pl-k>def</span> <span class=pl-en>process_movie_section</span>(<span class=pl-s1>section</span>, <span class=pl-s1>plex_media_paths</span>, <span class=pl-s1>rclone_mount</span>):</td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L8" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="8"></td> | |
| <td id="file-trigger_scan-py-LC8" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>for</span> <span class=pl-s1>directory</span> <span class=pl-c1>in</span> <span class=pl-s1>section</span>.<span class=pl-en>all</span>():</td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L9" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="9"></td> | |
| <td id="file-trigger_scan-py-LC9" class="blob-code blob-code-inner js-file-line"> <span class=pl-c># in case of a movie, this will host a list of files</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L10" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="10"></td> | |
| <td id="file-trigger_scan-py-LC10" class="blob-code blob-code-inner js-file-line"> <span class=pl-c># which is actually just 1 file, mentioning the movie's location</span></td> | |
| </tr> | |
| </table> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
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| 28 stars | |
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| <div class="flex-order-1 col-lg-7 col-12 d-flex"> | |
| <div class="d-lg-inline-block d-none v-align-top mt-1"> | |
| <a class="d-inline-block" data-hovercard-type="user" data-hovercard-url="/users/iamucil/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/iamucil"><img class=" avatar-user" src="https://avatars.githubusercontent.com/u/210371?s=60&v=4" width="30" height="30" alt="@iamucil" /></a> | |
| </div> | |
| <div class="d-inline-block px-lg-2 px-0"> | |
| <span> | |
| <a data-hovercard-type="user" data-hovercard-url="/users/iamucil/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/iamucil">iamucil</a> | |
| / <a href="/iamucil/7578dc7df7d72e1d78c8f5543db3fbcc"><strong class="css-truncate-target">go mod rename module.sh</strong></a> | |
| </span> | |
| <div class="color-fg-muted f6"> | |
| Last active | |
| <relative-time tense="past" datetime="2024-02-14T23:25:52Z" data-view-component="true">February 14, 2024 23:25</relative-time> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="js-gist-file-update-container js-task-list-container file-box"> | |
| <a class="link-overlay" href="https://gist.github.com/iamucil/7578dc7df7d72e1d78c8f5543db3fbcc"> | |
| <span class="link">View <strong>go mod rename module.sh</strong></span> | |
| </a> <div id="file-go-mod-rename-module-sh" class="file my-2"> | |
| <div itemprop="text" class="Box-body p-0 blob-wrapper data type-shell gist-border-0"> | |
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| </div></template> | |
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| <span aria-label="This line has hidden Unicode characters" data-view-component="true" class="line-alert tooltipped tooltipped-e"> | |
| <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-alert"> | |
| <path d="M6.457 1.047c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0 1 14.082 15H1.918a1.75 1.75 0 0 1-1.543-2.575Zm1.763.707a.25.25 0 0 0-.44 0L1.698 13.132a.25.25 0 0 0 .22.368h12.164a.25.25 0 0 0 .22-.368Zm.53 3.996v2.5a.75.75 0 0 1-1.5 0v-2.5a.75.75 0 0 1 1.5 0ZM9 11a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z"></path> | |
| </svg> | |
| </span></template> | |
| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Shell" data-tagsearch-path="go mod rename module.sh"> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-go-mod-rename-module-sh-LC1" class="blob-code blob-code-inner js-file-line">go mod edit -module {NEW_MODULE_NAME}</td> | |
| </tr> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-go-mod-rename-module-sh-LC2" class="blob-code blob-code-inner js-file-line">-- rename all imported module</td> | |
| </tr> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-go-mod-rename-module-sh-LC3" class="blob-code blob-code-inner js-file-line">find <span class="pl-c1">.</span> -type f -name <span class="pl-s"><span class="pl-pds">'</span>*.go<span class="pl-pds">'</span></span> \</td> | |
| </tr> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-go-mod-rename-module-sh-LC4" class="blob-code blob-code-inner js-file-line"> -exec sed -i -e <span class="pl-s"><span class="pl-pds">'</span>s,{OLD_MODULE},{NEW_MODULE},g<span class="pl-pds">'</span></span> {} <span class="pl-cce">\;</span></td> | |
| </tr> | |
| </table> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="gist-snippet"> | |
| <div class="gist-snippet-meta d-flex flex-lg-row flex-column width-full"> | |
| <ul class="col-lg-5 col-12 flex-order-2 f6 mt-lg-0 mt-3 mb-lg-0 mb-2 d-flex flex-lg-justify-end"> | |
| <li class="d-inline-block mr-lg-3 mr-2"> | |
| <a class="Link--muted" href="/LevanKvirkvelia/4ebc00be62b914d3a14811d7a0ea56ea"> | |
| <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code-square"> | |
| <path d="M0 1.75C0 .784.784 0 1.75 0h12.5C15.216 0 16 .784 16 1.75v12.5A1.75 1.75 0 0 1 14.25 16H1.75A1.75 1.75 0 0 1 0 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25V1.75a.25.25 0 0 0-.25-.25Zm7.47 3.97a.75.75 0 0 1 1.06 0l2 2a.75.75 0 0 1 0 1.06l-2 2a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L10.69 8 9.22 6.53a.75.75 0 0 1 0-1.06ZM6.78 6.53 5.31 8l1.47 1.47a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215l-2-2a.75.75 0 0 1 0-1.06l2-2a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042Z"></path> | |
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| 1 file | |
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| <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> | |
| </svg> | |
| 5 stars | |
| </a> | |
| </li> | |
| </ul> | |
| <div class="flex-order-1 col-lg-7 col-12 d-flex"> | |
| <div class="d-lg-inline-block d-none v-align-top mt-1"> | |
| <a class="d-inline-block" data-hovercard-type="user" data-hovercard-url="/users/LevanKvirkvelia/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/LevanKvirkvelia"><img class=" avatar-user" src="https://avatars.githubusercontent.com/u/5202843?s=60&v=4" width="30" height="30" alt="@LevanKvirkvelia" /></a> | |
| </div> | |
| <div class="d-inline-block px-lg-2 px-0"> | |
| <span> | |
| <a data-hovercard-type="user" data-hovercard-url="/users/LevanKvirkvelia/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/LevanKvirkvelia">LevanKvirkvelia</a> | |
| / <a href="/LevanKvirkvelia/4ebc00be62b914d3a14811d7a0ea56ea"><strong class="css-truncate-target">nanoBERT.py</strong></a> | |
| </span> | |
| <div class="color-fg-muted f6"> | |
| Last active | |
| <relative-time tense="past" datetime="2024-02-14T23:25:14Z" data-view-component="true">February 14, 2024 23:25</relative-time> | |
| </div> | |
| <span class="f6 color-fg-muted"> | |
| nanoBERT, inspired by <a class="user-mention" data-hovercard-type="user" data-hovercard-url="/users/karpathy/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/karpathy">@karpathy</a>'s nanoGPT | |
| </span> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="js-gist-file-update-container js-task-list-container file-box"> | |
| <a class="link-overlay" href="https://gist.github.com/LevanKvirkvelia/4ebc00be62b914d3a14811d7a0ea56ea"> | |
| <span class="link">View <strong>nanoBERT.py</strong></span> | |
| </a> <div id="file-nanobert-py" class="file my-2"> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Python" data-tagsearch-path="nanoBERT.py"> | |
| <tr> | |
| <td id="file-nanobert-py-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-nanobert-py-LC1" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>torch</span>.<span class=pl-s1>nn</span> <span class=pl-k>as</span> <span class=pl-s1>nn</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-nanobert-py-LC2" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>torch</span>.<span class=pl-s1>nn</span>.<span class=pl-s1>functional</span> <span class=pl-k>as</span> <span class=pl-v>F</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-nanobert-py-LC3" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>math</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-nanobert-py-LC4" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>typing</span> <span class=pl-k>import</span> <span class=pl-v>Optional</span>, <span class=pl-v>Tuple</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L5" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="5"></td> | |
| <td id="file-nanobert-py-LC5" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L6" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="6"></td> | |
| <td id="file-nanobert-py-LC6" class="blob-code blob-code-inner js-file-line"><span class=pl-k>class</span> <span class=pl-v>BertSelfAttention</span>(<span class=pl-s1>nn</span>.<span class=pl-v>Module</span>):</td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L7" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="7"></td> | |
| <td id="file-nanobert-py-LC7" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>def</span> <span class=pl-en>__init__</span>(<span class=pl-s1>self</span>, <span class=pl-s1>config</span>):</td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L8" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="8"></td> | |
| <td id="file-nanobert-py-LC8" class="blob-code blob-code-inner js-file-line"> <span class=pl-en>super</span>().<span class=pl-en>__init__</span>()</td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L9" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="9"></td> | |
| <td id="file-nanobert-py-LC9" class="blob-code blob-code-inner js-file-line"> </td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L10" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="10"></td> | |
| <td id="file-nanobert-py-LC10" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>if</span> <span class=pl-s1>config</span>.<span class=pl-s1>hidden_size</span> <span class=pl-c1>%</span> <span class=pl-s1>config</span>.<span class=pl-s1>num_attention_heads</span> <span class=pl-c1>!=</span> <span class=pl-c1>0</span>:</td> | |
| </tr> | |
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| / <a href="/jamesmacwhite/6a642cb6bad00c5cefa91ec3d742e2a6"><strong class="css-truncate-target">Workarounds for Netflix and the blocking of IPv6 tunnels.md</strong></a> | |
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| Prevent proxy/VPN streaming error messages from Netflix when using a Hurricane Electric IPv6 tunnel. | |
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| <span class="link">View <strong>Workarounds for Netflix and the blocking of IPv6 tunnels.md</strong></span> | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-workarounds-for-netflix-and-the-blocking-of-hurricane-electric-ipv6-tunnels" class="anchor" aria-hidden="true" tabindex="-1" href="#workarounds-for-netflix-and-the-blocking-of-hurricane-electric-ipv6-tunnels"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Workarounds for Netflix and the blocking of Hurricane Electric IPv6 tunnels</h1> | |
| <h6 dir="auto"><a id="user-content-the-dreaded-you-seem-to-be-using-an-unblocker-or-proxy-error-message-cool-story-bro" class="anchor" aria-hidden="true" tabindex="-1" href="#the-dreaded-you-seem-to-be-using-an-unblocker-or-proxy-error-message-cool-story-bro"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>The dreaded "You seem to be using an unblocker or proxy." error message. Cool story bro.</h6> | |
| <p dir="auto"><em>This gist was essentially created out of my own <a href="https://blog.jmwhite.co.uk/2016/06/12/netflix-starts-blocking-ipv6-tunnels/" rel="nofollow">rant about Netflix being hostile to IPv6 tunnel services since June 2016</a>. You are welcome to read my opinion on the matter, this is the more technical side to the issue and how to combat it within your own network.</em></p> | |
| <p dir="auto">Since I wrote this, various GitHub users have contributed their thoughts and ideas which has been incorporated into this gist. Thank you to everyone who have contributed their own methods and implementations.</p> | |
| <h2 dir="auto"><a id="user-content-the-problem" class="anchor" aria-hidden="true" tabindex="-1" href="#the-problem"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>The problem</h2> | |
| <p dir="auto">Netflix now treats IPv6 tunnel brokers (such as Hurricane Electric) as proxy servers. A while ago it became apparent to users and Netflix that somewhat by accident, IPv6 tunnel users were being served content outside of their geolocation because of the way Netflix was identifyi</p> | |
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| <span class="link">View <strong>id3-ffmpeg.md</strong></span> | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-getset-id3-meta-tags-using-ffmpeg" class="anchor" aria-hidden="true" tabindex="-1" href="#getset-id3-meta-tags-using-ffmpeg"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Get/set ID3 meta tags using ffmpeg</h1> | |
| <p dir="auto">A quick guide on how to read/write/modify <strong>ID3</strong> metadata tags for audio / media files using <strong><code>ffmpeg</code></strong>.</p> | |
| <p dir="auto"><a href="https://ffmpeg.org/" rel="nofollow">FFmpeg</a> has a free-form command line option that allows the user to specify key-value-pairs for encoding metadata. Let's take a look.</p> | |
| <h2 dir="auto"><a id="user-content-1-read-id3-metadata" class="anchor" aria-hidden="true" tabindex="-1" href="#1-read-id3-metadata"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>1. <em><strong>Read</strong></em> ID3 metadata</h2> | |
| <p dir="auto">To list all global metadata tags for a media file, just set an input but no output file.</p> | |
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| Vite + Jest + React Testing Library - Configuraciones a seguir | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-instalación-y-configuracion-de-jest--react-testing-library" class="anchor" aria-hidden="true" tabindex="-1" href="#instalación-y-configuracion-de-jest--react-testing-library"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Instalación y configuracion de Jest + React Testing Library</h1> | |
| <h2 dir="auto"><a id="user-content-en-proyectos-de-react--vite" class="anchor" aria-hidden="true" tabindex="-1" href="#en-proyectos-de-react--vite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>En proyectos de React + Vite</h2> | |
| <ol dir="auto"> | |
| <li>Instalaciones:</li> | |
| </ol> | |
| <pre><code>yarn add --dev jest babel-jest @babel/preset-env @babel/preset-react | |
| yarn add --dev @testing-library/react @types/jest jest-environment-jsdom | |
| </code></pre> | |
| <ol start="2" dir="auto"> | |
| <li>Opcional: Si usamos Fetch API en el proyecto:</li> | |
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| </svg> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Text" data-tagsearch-path="gistfile1.txt"> | |
| <tr> | |
| <td id="file-gistfile1-txt-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-gistfile1-txt-LC1" class="blob-code blob-code-inner js-file-line">import requests</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-gistfile1-txt-LC2" class="blob-code blob-code-inner js-file-line">from dune_client.client import DuneClient</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-gistfile1-txt-LC3" class="blob-code blob-code-inner js-file-line">from dune_client.query import QueryBase</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-gistfile1-txt-LC4" class="blob-code blob-code-inner js-file-line">import time</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L5" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="5"></td> | |
| <td id="file-gistfile1-txt-LC5" class="blob-code blob-code-inner js-file-line">import random</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L6" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="6"></td> | |
| <td id="file-gistfile1-txt-LC6" class="blob-code blob-code-inner js-file-line"> | |
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| <tr> | |
| <td id="file-gistfile1-txt-L7" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="7"></td> | |
| <td id="file-gistfile1-txt-LC7" class="blob-code blob-code-inner js-file-line">NEYNAR_API_KEY = ""</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L8" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="8"></td> | |
| <td id="file-gistfile1-txt-LC8" class="blob-code blob-code-inner js-file-line">DUNE_API_KEY = ""</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L9" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="9"></td> | |
| <td id="file-gistfile1-txt-LC9" class="blob-code blob-code-inner js-file-line">SIGNER_UUID = ""</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L10" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="10"></td> | |
| <td id="file-gistfile1-txt-LC10" class="blob-code blob-code-inner js-file-line">HEADERS = {'accept': 'application/json', 'api_key': NEYNAR_API_KEY}</td> | |
| </tr> | |
| </table> | |
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| | Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |----------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuralTrix-7B-dpo-laser](https://huggingface.co/Kquant03/NeuralTrix-7B-dpo-laser)| 44.51| 76.24| 78.56| 49.26| 62.14| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |24.41|± | 2.70| | |
| | | |acc_norm|24.41|± | 2.70| | |
| |agieval_logiqa_en | 0|acc |37.02|± | 1.89| | |
| | | |acc_norm|37.63|± | 1.90| | |
| |agieval_lsat_ar | 0|acc |27.39|± | 2.95| | |
| | | |acc_norm|26.96|± | 2.93| | |
| |agieval_lsat_lr | 0|acc |52.94|± | 2.21| | |
| | | |acc_norm|54.12|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |64.68|± | 2.92| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |78.16|± | 2.89| | |
| | | |acc_norm|78.16|± | 2.89| | |
| |agieval_sat_en_without_passage| 0|acc |42.72|± | 3.45| | |
| | | |acc_norm|40.78|± | 3.43| | |
| |agieval_sat_math | 0|acc |30.45|± | 3.11| | |
| | | |acc_norm|28.64|± | 3.05| | |
| Average: 44.51% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |64.59|± | 1.40| | |
| | | |acc_norm|65.70|± | 1.39| | |
| |arc_easy | 0|acc |84.89|± | 0.73| | |
| | | |acc_norm|79.00|± | 0.84| | |
| |boolq | 1|acc |86.82|± | 0.59| | |
| |hellaswag | 0|acc |68.00|± | 0.47| | |
| | | |acc_norm|86.60|± | 0.34| | |
| |openbookqa | 0|acc |38.80|± | 2.18| | |
| | | |acc_norm|50.60|± | 2.24| | |
| |piqa | 0|acc |81.61|± | 0.90| | |
| | | |acc_norm|83.35|± | 0.87| | |
| |winogrande | 0|acc |81.61|± | 1.09| | |
| Average: 76.24% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |62.79|± | 1.69| | |
| | | |mc2 |78.56|± | 1.36| | |
| Average: 78.56% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|62.11|± | 3.53| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.50|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|60.08|± | 3.05| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.60|± | 2.11| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.71|± | 1.58| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|49.40|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|59.60|± | 1.55| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|67.15|± | 1.05| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|52.46|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|36.97|± | 1.53| | |
| |bigbench_snarks | 0|multiple_choice_grade|74.03|± | 3.27| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|71.50|± | 1.44| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|49.50|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.56|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.34|± | 0.93| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84| | |
| Average: 49.26% | |
| Average score: 62.14% | |
| Elapsed time: 01:20:36| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuTrixOmniBe-7B-model-remix](https://huggingface.co/Kukedlc/NeuTrixOmniBe-7B-model-remix)| 44.74| 77.31| 77.27| 49.18| 62.12| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|24.41|± | 2.70| | |
| |agieval_logiqa_en | 0|acc |39.78|± | 1.92| | |
| | | |acc_norm|40.55|± | 1.93| | |
| |agieval_lsat_ar | 0|acc |25.65|± | 2.89| | |
| | | |acc_norm|24.35|± | 2.84| | |
| |agieval_lsat_lr | 0|acc |53.53|± | 2.21| | |
| | | |acc_norm|54.51|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|64.68|± | 2.92| | |
| |agieval_sat_en | 0|acc |77.18|± | 2.93| | |
| | | |acc_norm|77.18|± | 2.93| | |
| |agieval_sat_en_without_passage| 0|acc |43.20|± | 3.46| | |
| | | |acc_norm|42.72|± | 3.45| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|29.55|± | 3.08| | |
| Average: 44.74% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.15|± | 1.37| | |
| | | |acc_norm|67.83|± | 1.37| | |
| |arc_easy | 0|acc |86.24|± | 0.71| | |
| | | |acc_norm|79.97|± | 0.82| | |
| |boolq | 1|acc |87.58|± | 0.58| | |
| |hellaswag | 0|acc |70.19|± | 0.46| | |
| | | |acc_norm|87.58|± | 0.33| | |
| |openbookqa | 0|acc |40.00|± | 2.19| | |
| | | |acc_norm|50.00|± | 2.24| | |
| |piqa | 0|acc |82.97|± | 0.88| | |
| | | |acc_norm|85.42|± | 0.82| | |
| |winogrande | 0|acc |82.79|± | 1.06| | |
| Average: 77.31% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |61.69|± | 1.70| | |
| | | |mc2 |77.27|± | 1.39| | |
| Average: 77.27% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|60.00|± | 3.56| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|62.33|± | 2.53| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|55.43|± | 3.10| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.80|± | 2.10| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.14|± | 1.60| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.33|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|50.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|55.80|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|68.90|± | 1.04| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.69|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|37.58|± | 1.53| | |
| |bigbench_snarks | 0|multiple_choice_grade|73.48|± | 3.29| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.35|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.28|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.97|± | 0.94| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.33|± | 2.84| | |
| Average: 49.18% | |
| Average score: 62.12% | |
| Elapsed time: 02:58:43| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |--------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[guanaco-7B-HF](https://huggingface.co/TheBloke/guanaco-7B-HF)| 23.12| 66.85| 38.92| 32.64| 40.38| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |19.69|± | 2.50| | |
| | | |acc_norm|20.08|± | 2.52| | |
| |agieval_logiqa_en | 0|acc |22.73|± | 1.64| | |
| | | |acc_norm|29.19|± | 1.78| | |
| |agieval_lsat_ar | 0|acc |23.04|± | 2.78| | |
| | | |acc_norm|18.70|± | 2.58| | |
| |agieval_lsat_lr | 0|acc |21.37|± | 1.82| | |
| | | |acc_norm|22.16|± | 1.84| | |
| |agieval_lsat_rc | 0|acc |13.75|± | 2.10| | |
| | | |acc_norm|16.73|± | 2.28| | |
| |agieval_sat_en | 0|acc |35.44|± | 3.34| | |
| | | |acc_norm|28.64|± | 3.16| | |
| |agieval_sat_en_without_passage| 0|acc |33.50|± | 3.30| | |
| | | |acc_norm|27.67|± | 3.12| | |
| |agieval_sat_math | 0|acc |24.09|± | 2.89| | |
| | | |acc_norm|21.82|± | 2.79| | |
| Average: 23.12% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |44.11|± | 1.45| | |
| | | |acc_norm|46.33|± | 1.46| | |
| |arc_easy | 0|acc |75.21|± | 0.89| | |
| | | |acc_norm|70.75|± | 0.93| | |
| |boolq | 1|acc |77.52|± | 0.73| | |
| |hellaswag | 0|acc |59.61|± | 0.49| | |
| | | |acc_norm|78.36|± | 0.41| | |
| |openbookqa | 0|acc |37.20|± | 2.16| | |
| | | |acc_norm|46.40|± | 2.23| | |
| |piqa | 0|acc |79.00|± | 0.95| | |
| | | |acc_norm|79.00|± | 0.95| | |
| |winogrande | 0|acc |69.61|± | 1.29| | |
| Average: 66.85% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |24.72|± | 1.51| | |
| | | |mc2 |38.92|± | 1.45| | |
| Average: 38.92% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|51.58|± | 3.64| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|61.52|± | 2.54| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|25.58|± | 2.72| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade| 6.96|± | 1.35| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|22.80|± | 1.88| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|16.71|± | 1.41| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|38.00|± | 2.81| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|24.20|± | 1.92| | |
| |bigbench_navigate | 0|multiple_choice_grade|50.00|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|38.45|± | 1.09| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|35.71|± | 2.27| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|17.33|± | 1.20| | |
| |bigbench_snarks | 0|multiple_choice_grade|53.04|± | 3.72| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|49.70|± | 1.59| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|24.60|± | 1.36| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|19.52|± | 1.12| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|13.89|± | 0.83| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|38.00|± | 2.81| | |
| Average: 32.64% | |
| Average score: 40.38% | |
| Elapsed time: 02:34:32| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |------------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[TurdusTrixBeagle-DARETIES-7B](https://huggingface.co/jsfs11/TurdusTrixBeagle-DARETIES-7B)| 44.46| 77.81| 69.15| 48.54| 59.99| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|25.59|± | 2.74| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|39.63|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |25.65|± | 2.89| | |
| | | |acc_norm|24.35|± | 2.84| | |
| |agieval_lsat_lr | 0|acc |50.98|± | 2.22| | |
| | | |acc_norm|51.96|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.17|± | 2.89| | |
| | | |acc_norm|66.54|± | 2.88| | |
| |agieval_sat_en | 0|acc |78.64|± | 2.86| | |
| | | |acc_norm|78.16|± | 2.89| | |
| |agieval_sat_en_without_passage| 0|acc |41.75|± | 3.44| | |
| | | |acc_norm|40.78|± | 3.43| | |
| |agieval_sat_math | 0|acc |30.91|± | 3.12| | |
| | | |acc_norm|28.64|± | 3.05| | |
| Average: 44.46% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.75|± | 1.37| | |
| | | |acc_norm|67.92|± | 1.36| | |
| |arc_easy | 0|acc |87.08|± | 0.69| | |
| | | |acc_norm|83.12|± | 0.77| | |
| |boolq | 1|acc |88.26|± | 0.56| | |
| |hellaswag | 0|acc |70.54|± | 0.45| | |
| | | |acc_norm|87.29|± | 0.33| | |
| |openbookqa | 0|acc |38.60|± | 2.18| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |83.57|± | 0.86| | |
| | | |acc_norm|85.42|± | 0.82| | |
| |winogrande | 0|acc |83.43|± | 1.05| | |
| Average: 77.81% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |56.30|± | 1.74| | |
| | | |mc2 |69.15|± | 1.52| | |
| Average: 69.15% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.84|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.58|± | 2.48| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|44.57|± | 3.10| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.20|± | 2.12| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.29|± | 1.60| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.00|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|51.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.70|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|72.25|± | 1.00| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.58|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|33.87|± | 1.50| | |
| |bigbench_snarks | 0|multiple_choice_grade|74.59|± | 3.25| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.35|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|49.90|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.48|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.83|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.00|± | 2.86| | |
| Average: 48.54% | |
| Average score: 59.99% | |
| Elapsed time: 02:42:29| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[MistralTrix-v1](https://huggingface.co/CultriX/MistralTrix-v1)| 44.98| 76.62| 71.44| 47.17| 60.05| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |25.59|± | 2.74| | |
| | | |acc_norm|24.80|± | 2.72| | |
| |agieval_logiqa_en | 0|acc |37.48|± | 1.90| | |
| | | |acc_norm|38.56|± | 1.91| | |
| |agieval_lsat_ar | 0|acc |25.22|± | 2.87| | |
| | | |acc_norm|24.35|± | 2.84| | |
| |agieval_lsat_lr | 0|acc |50.20|± | 2.22| | |
| | | |acc_norm|51.57|± | 2.22| | |
| |agieval_lsat_rc | 0|acc |65.43|± | 2.91| | |
| | | |acc_norm|65.06|± | 2.91| | |
| |agieval_sat_en | 0|acc |78.16|± | 2.89| | |
| | | |acc_norm|77.67|± | 2.91| | |
| |agieval_sat_en_without_passage| 0|acc |46.12|± | 3.48| | |
| | | |acc_norm|45.15|± | 3.48| | |
| |agieval_sat_math | 0|acc |35.00|± | 3.22| | |
| | | |acc_norm|32.73|± | 3.17| | |
| Average: 44.98% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.66|± | 1.37| | |
| | | |acc_norm|68.26|± | 1.36| | |
| |arc_easy | 0|acc |87.37|± | 0.68| | |
| | | |acc_norm|81.82|± | 0.79| | |
| |boolq | 1|acc |87.49|± | 0.58| | |
| |hellaswag | 0|acc |70.09|± | 0.46| | |
| | | |acc_norm|86.38|± | 0.34| | |
| |openbookqa | 0|acc |38.60|± | 2.18| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |83.90|± | 0.86| | |
| | | |acc_norm|84.98|± | 0.83| | |
| |winogrande | 0|acc |78.22|± | 1.16| | |
| Average: 76.62% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.41|± | 1.73| | |
| | | |mc2 |71.44|± | 1.50| | |
| Average: 71.44% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.42|± | 3.59| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|62.06|± | 2.53| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|41.86|± | 3.08| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.40|± | 2.24| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.40|± | 2.10| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.43|± | 1.60| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.00|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|53.00|± | 2.23| | |
| |bigbench_navigate | 0|multiple_choice_grade|55.80|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|67.10|± | 1.05| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|51.12|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|38.58|± | 1.54| | |
| |bigbench_snarks | 0|multiple_choice_grade|67.40|± | 3.49| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|73.43|± | 1.41| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|47.30|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.64|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|17.14|± | 0.90| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.00|± | 2.86| | |
| Average: 47.17% | |
| Average score: 60.05% | |
| Elapsed time: 03:06:11| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-MoE](https://huggingface.co/CultriX/Wernicke-MoE)| 45.36| 77.62| 70.74| 48.59| 60.58| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |28.74|± | 2.85| | |
| | | |acc_norm|27.17|± | 2.80| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|40.09|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |24.78|± | 2.85| | |
| | | |acc_norm|24.78|± | 2.85| | |
| |agieval_lsat_lr | 0|acc |52.94|± | 2.21| | |
| | | |acc_norm|52.55|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |79.13|± | 2.84| | |
| | | |acc_norm|79.13|± | 2.84| | |
| |agieval_sat_en_without_passage| 0|acc |44.66|± | 3.47| | |
| | | |acc_norm|44.17|± | 3.47| | |
| |agieval_sat_math | 0|acc |31.36|± | 3.14| | |
| | | |acc_norm|29.55|± | 3.08| | |
| Average: 45.36% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.41|± | 1.37| | |
| | | |acc_norm|68.09|± | 1.36| | |
| |arc_easy | 0|acc |87.08|± | 0.69| | |
| | | |acc_norm|83.75|± | 0.76| | |
| |boolq | 1|acc |88.17|± | 0.56| | |
| |hellaswag | 0|acc |68.60|± | 0.46| | |
| | | |acc_norm|86.78|± | 0.34| | |
| |openbookqa | 0|acc |39.20|± | 2.19| | |
| | | |acc_norm|48.60|± | 2.24| | |
| |piqa | 0|acc |82.92|± | 0.88| | |
| | | |acc_norm|85.47|± | 0.82| | |
| |winogrande | 0|acc |82.48|± | 1.07| | |
| Average: 77.62% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |55.32|± | 1.74| | |
| | | |mc2 |70.74|± | 1.48| | |
| Average: 70.74% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.42|± | 3.59| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.85|± | 2.47| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|49.61|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.20|± | 2.09| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.57|± | 1.58| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|56.33|± | 2.87| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|45.40|± | 2.23| | |
| |bigbench_navigate | 0|multiple_choice_grade|57.10|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.30|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.13|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|34.47|± | 1.51| | |
| |bigbench_snarks | 0|multiple_choice_grade|74.03|± | 3.27| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.35|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|54.70|± | 1.57| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.12|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.60|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|56.33|± | 2.87| | |
| Average: 48.59% | |
| Average score: 60.58% | |
| Elapsed time: 03:08:52| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[UNA-TheBeagle-7b-v1](https://huggingface.co/fblgit/UNA-TheBeagle-7b-v1)| 42.73| 77.12| 70.82| 46.01| 59.17| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.17|± | 2.80| | |
| | | |acc_norm|24.80|± | 2.72| | |
| |agieval_logiqa_en | 0|acc |36.71|± | 1.89| | |
| | | |acc_norm|37.02|± | 1.89| | |
| |agieval_lsat_ar | 0|acc |22.61|± | 2.76| | |
| | | |acc_norm|20.43|± | 2.66| | |
| |agieval_lsat_lr | 0|acc |50.39|± | 2.22| | |
| | | |acc_norm|50.00|± | 2.22| | |
| |agieval_lsat_rc | 0|acc |61.71|± | 2.97| | |
| | | |acc_norm|62.08|± | 2.96| | |
| |agieval_sat_en | 0|acc |76.70|± | 2.95| | |
| | | |acc_norm|76.70|± | 2.95| | |
| |agieval_sat_en_without_passage| 0|acc |40.29|± | 3.43| | |
| | | |acc_norm|40.78|± | 3.43| | |
| |agieval_sat_math | 0|acc |31.82|± | 3.15| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 42.73% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |70.31|± | 1.34| | |
| | | |acc_norm|69.37|± | 1.35| | |
| |arc_easy | 0|acc |86.78|± | 0.69| | |
| | | |acc_norm|83.04|± | 0.77| | |
| |boolq | 1|acc |88.32|± | 0.56| | |
| |hellaswag | 0|acc |71.04|± | 0.45| | |
| | | |acc_norm|86.23|± | 0.34| | |
| |openbookqa | 0|acc |39.40|± | 2.19| | |
| | | |acc_norm|48.60|± | 2.24| | |
| |piqa | 0|acc |83.84|± | 0.86| | |
| | | |acc_norm|84.60|± | 0.84| | |
| |winogrande | 0|acc |79.72|± | 1.13| | |
| Average: 77.12% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |59.36|± | 1.72| | |
| | | |mc2 |70.82|± | 1.51| | |
| Average: 70.82% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|59.47|± | 3.57| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|62.87|± | 2.52| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|34.11|± | 2.96| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|31.48|± | 2.45| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.20|± | 2.09| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.86|± | 1.63| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|58.67|± | 2.85| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|52.40|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.50|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|68.35|± | 1.04| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|47.54|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|27.35|± | 1.41| | |
| |bigbench_snarks | 0|multiple_choice_grade|58.56|± | 3.67| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|73.23|± | 1.41| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|41.70|± | 1.56| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.80|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|17.37|± | 0.91| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|58.67|± | 2.85| | |
| Average: 46.01% | |
| Average score: 59.17% | |
| Elapsed time: 03:07:27 | |
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| <li><a href="http://www.alyeskagroup.com" rel="nofollow">Alyeska Investment Group</a></li> | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-postgresql-is-enough" class="anchor" aria-hidden="true" tabindex="-1" href="#postgresql-is-enough"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>PostgreSQL is Enough</h1> | |
| <ul dir="auto"> | |
| <li><a href="https://sive.rs/pg" rel="nofollow">Simplify: move code into database functions</a></li> | |
| <li><a href="https://www.amazingcto.com/postgres-for-everything/" rel="nofollow">Just Use Postgres for Everything</a></li> | |
| <li><a href="https://www.2ndquadrant.com/en/blog/postgresql-is-the-worlds-best-database/" rel="nofollow">PostgreSQL is the worlds’ best database</a></li> | |
| <li><a href="https://news.ycombinator.com/item?id=39273954" rel="nofollow">Hacker News discussion</a></li> | |
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| for <a href="https://github.com/debridmediamanager/zurg-testing/issues/72">https://github.com/debridmediamanager/zurg-testing/issues/72</a> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Python" data-tagsearch-path="trigger_scan.py"> | |
| <tr> | |
| <td id="file-trigger_scan-py-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-trigger_scan-py-LC1" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>os</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-trigger_scan-py-LC2" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>subprocess</span> <span class=pl-k>import</span> <span class=pl-s1>check_output</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-trigger_scan-py-LC3" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>pprint</span> <span class=pl-k>import</span> <span class=pl-s1>pprint</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-trigger_scan-py-LC4" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L5" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="5"></td> | |
| <td id="file-trigger_scan-py-LC5" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>plexapi</span>.<span class=pl-s1>server</span> <span class=pl-k>import</span> <span class=pl-v>PlexServer</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L6" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="6"></td> | |
| <td id="file-trigger_scan-py-LC6" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L7" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="7"></td> | |
| <td id="file-trigger_scan-py-LC7" class="blob-code blob-code-inner js-file-line"><span class=pl-k>def</span> <span class=pl-en>process_movie_section</span>(<span class=pl-s1>section</span>, <span class=pl-s1>plex_media_paths</span>, <span class=pl-s1>rclone_mount</span>):</td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L8" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="8"></td> | |
| <td id="file-trigger_scan-py-LC8" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>for</span> <span class=pl-s1>directory</span> <span class=pl-c1>in</span> <span class=pl-s1>section</span>.<span class=pl-en>all</span>():</td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L9" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="9"></td> | |
| <td id="file-trigger_scan-py-LC9" class="blob-code blob-code-inner js-file-line"> <span class=pl-c># in case of a movie, this will host a list of files</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L10" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="10"></td> | |
| <td id="file-trigger_scan-py-LC10" class="blob-code blob-code-inner js-file-line"> <span class=pl-c># which is actually just 1 file, mentioning the movie's location</span></td> | |
| </tr> | |
| </table> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
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| <a data-hovercard-type="user" data-hovercard-url="/users/iamucil/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/iamucil">iamucil</a> | |
| / <a href="/iamucil/7578dc7df7d72e1d78c8f5543db3fbcc"><strong class="css-truncate-target">go mod rename module.sh</strong></a> | |
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| <a class="link-overlay" href="https://gist.github.com/iamucil/7578dc7df7d72e1d78c8f5543db3fbcc"> | |
| <span class="link">View <strong>go mod rename module.sh</strong></span> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Shell" data-tagsearch-path="go mod rename module.sh"> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-go-mod-rename-module-sh-LC1" class="blob-code blob-code-inner js-file-line">go mod edit -module {NEW_MODULE_NAME}</td> | |
| </tr> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-go-mod-rename-module-sh-LC2" class="blob-code blob-code-inner js-file-line">-- rename all imported module</td> | |
| </tr> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-go-mod-rename-module-sh-LC3" class="blob-code blob-code-inner js-file-line">find <span class="pl-c1">.</span> -type f -name <span class="pl-s"><span class="pl-pds">'</span>*.go<span class="pl-pds">'</span></span> \</td> | |
| </tr> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-go-mod-rename-module-sh-LC4" class="blob-code blob-code-inner js-file-line"> -exec sed -i -e <span class="pl-s"><span class="pl-pds">'</span>s,{OLD_MODULE},{NEW_MODULE},g<span class="pl-pds">'</span></span> {} <span class="pl-cce">\;</span></td> | |
| </tr> | |
| </table> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
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| / <a href="/LevanKvirkvelia/4ebc00be62b914d3a14811d7a0ea56ea"><strong class="css-truncate-target">nanoBERT.py</strong></a> | |
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| Last active | |
| <relative-time tense="past" datetime="2024-02-14T23:25:14Z" data-view-component="true">February 14, 2024 23:25</relative-time> | |
| </div> | |
| <span class="f6 color-fg-muted"> | |
| nanoBERT, inspired by <a class="user-mention" data-hovercard-type="user" data-hovercard-url="/users/karpathy/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/karpathy">@karpathy</a>'s nanoGPT | |
| </span> | |
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| <span class="link">View <strong>nanoBERT.py</strong></span> | |
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| </svg> | |
| </span></template> | |
| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Python" data-tagsearch-path="nanoBERT.py"> | |
| <tr> | |
| <td id="file-nanobert-py-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-nanobert-py-LC1" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>torch</span>.<span class=pl-s1>nn</span> <span class=pl-k>as</span> <span class=pl-s1>nn</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-nanobert-py-LC2" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>torch</span>.<span class=pl-s1>nn</span>.<span class=pl-s1>functional</span> <span class=pl-k>as</span> <span class=pl-v>F</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-nanobert-py-LC3" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>math</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-nanobert-py-LC4" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>typing</span> <span class=pl-k>import</span> <span class=pl-v>Optional</span>, <span class=pl-v>Tuple</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L5" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="5"></td> | |
| <td id="file-nanobert-py-LC5" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L6" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="6"></td> | |
| <td id="file-nanobert-py-LC6" class="blob-code blob-code-inner js-file-line"><span class=pl-k>class</span> <span class=pl-v>BertSelfAttention</span>(<span class=pl-s1>nn</span>.<span class=pl-v>Module</span>):</td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L7" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="7"></td> | |
| <td id="file-nanobert-py-LC7" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>def</span> <span class=pl-en>__init__</span>(<span class=pl-s1>self</span>, <span class=pl-s1>config</span>):</td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L8" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="8"></td> | |
| <td id="file-nanobert-py-LC8" class="blob-code blob-code-inner js-file-line"> <span class=pl-en>super</span>().<span class=pl-en>__init__</span>()</td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L9" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="9"></td> | |
| <td id="file-nanobert-py-LC9" class="blob-code blob-code-inner js-file-line"> </td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L10" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="10"></td> | |
| <td id="file-nanobert-py-LC10" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>if</span> <span class=pl-s1>config</span>.<span class=pl-s1>hidden_size</span> <span class=pl-c1>%</span> <span class=pl-s1>config</span>.<span class=pl-s1>num_attention_heads</span> <span class=pl-c1>!=</span> <span class=pl-c1>0</span>:</td> | |
| </tr> | |
| </table> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
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| <li class="d-inline-block mr-lg-3 mr-2"> | |
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| / <a href="/jamesmacwhite/6a642cb6bad00c5cefa91ec3d742e2a6"><strong class="css-truncate-target">Workarounds for Netflix and the blocking of IPv6 tunnels.md</strong></a> | |
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| Prevent proxy/VPN streaming error messages from Netflix when using a Hurricane Electric IPv6 tunnel. | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-workarounds-for-netflix-and-the-blocking-of-hurricane-electric-ipv6-tunnels" class="anchor" aria-hidden="true" tabindex="-1" href="#workarounds-for-netflix-and-the-blocking-of-hurricane-electric-ipv6-tunnels"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Workarounds for Netflix and the blocking of Hurricane Electric IPv6 tunnels</h1> | |
| <h6 dir="auto"><a id="user-content-the-dreaded-you-seem-to-be-using-an-unblocker-or-proxy-error-message-cool-story-bro" class="anchor" aria-hidden="true" tabindex="-1" href="#the-dreaded-you-seem-to-be-using-an-unblocker-or-proxy-error-message-cool-story-bro"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>The dreaded "You seem to be using an unblocker or proxy." error message. Cool story bro.</h6> | |
| <p dir="auto"><em>This gist was essentially created out of my own <a href="https://blog.jmwhite.co.uk/2016/06/12/netflix-starts-blocking-ipv6-tunnels/" rel="nofollow">rant about Netflix being hostile to IPv6 tunnel services since June 2016</a>. You are welcome to read my opinion on the matter, this is the more technical side to the issue and how to combat it within your own network.</em></p> | |
| <p dir="auto">Since I wrote this, various GitHub users have contributed their thoughts and ideas which has been incorporated into this gist. Thank you to everyone who have contributed their own methods and implementations.</p> | |
| <h2 dir="auto"><a id="user-content-the-problem" class="anchor" aria-hidden="true" tabindex="-1" href="#the-problem"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>The problem</h2> | |
| <p dir="auto">Netflix now treats IPv6 tunnel brokers (such as Hurricane Electric) as proxy servers. A while ago it became apparent to users and Netflix that somewhat by accident, IPv6 tunnel users were being served content outside of their geolocation because of the way Netflix was identifyi</p> | |
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| / <a href="/eyecatchup/0757b3d8b989fe433979db2ea7d95a01"><strong class="css-truncate-target">id3-ffmpeg.md</strong></a> | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-getset-id3-meta-tags-using-ffmpeg" class="anchor" aria-hidden="true" tabindex="-1" href="#getset-id3-meta-tags-using-ffmpeg"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Get/set ID3 meta tags using ffmpeg</h1> | |
| <p dir="auto">A quick guide on how to read/write/modify <strong>ID3</strong> metadata tags for audio / media files using <strong><code>ffmpeg</code></strong>.</p> | |
| <p dir="auto"><a href="https://ffmpeg.org/" rel="nofollow">FFmpeg</a> has a free-form command line option that allows the user to specify key-value-pairs for encoding metadata. Let's take a look.</p> | |
| <h2 dir="auto"><a id="user-content-1-read-id3-metadata" class="anchor" aria-hidden="true" tabindex="-1" href="#1-read-id3-metadata"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>1. <em><strong>Read</strong></em> ID3 metadata</h2> | |
| <p dir="auto">To list all global metadata tags for a media file, just set an input but no output file.</p> | |
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| / <a href="/Klerith/ca7e57fae3c9ab92ad08baadc6c26177"><strong class="css-truncate-target">vite-testing-config.md</strong></a> | |
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| Vite + Jest + React Testing Library - Configuraciones a seguir | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-instalación-y-configuracion-de-jest--react-testing-library" class="anchor" aria-hidden="true" tabindex="-1" href="#instalación-y-configuracion-de-jest--react-testing-library"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Instalación y configuracion de Jest + React Testing Library</h1> | |
| <h2 dir="auto"><a id="user-content-en-proyectos-de-react--vite" class="anchor" aria-hidden="true" tabindex="-1" href="#en-proyectos-de-react--vite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>En proyectos de React + Vite</h2> | |
| <ol dir="auto"> | |
| <li>Instalaciones:</li> | |
| </ol> | |
| <pre><code>yarn add --dev jest babel-jest @babel/preset-env @babel/preset-react | |
| yarn add --dev @testing-library/react @types/jest jest-environment-jsdom | |
| </code></pre> | |
| <ol start="2" dir="auto"> | |
| <li>Opcional: Si usamos Fetch API en el proyecto:</li> | |
| </ol> | |
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| Created | |
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| <span class="f6 color-fg-muted"> | |
| farcaster follower via dune queries | |
| </span> | |
| </div> | |
| </div> | |
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| <span class="link">View <strong>gist:8ece0b1cfc71d920b4bb99cb16702ab7</strong></span> | |
| </a> <div id="file-gistfile1-txt" class="file my-2"> | |
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| <path d="M6.457 1.047c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0 1 14.082 15H1.918a1.75 1.75 0 0 1-1.543-2.575Zm1.763.707a.25.25 0 0 0-.44 0L1.698 13.132a.25.25 0 0 0 .22.368h12.164a.25.25 0 0 0 .22-.368Zm.53 3.996v2.5a.75.75 0 0 1-1.5 0v-2.5a.75.75 0 0 1 1.5 0ZM9 11a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z"></path> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Text" data-tagsearch-path="gistfile1.txt"> | |
| <tr> | |
| <td id="file-gistfile1-txt-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-gistfile1-txt-LC1" class="blob-code blob-code-inner js-file-line">import requests</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-gistfile1-txt-LC2" class="blob-code blob-code-inner js-file-line">from dune_client.client import DuneClient</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-gistfile1-txt-LC3" class="blob-code blob-code-inner js-file-line">from dune_client.query import QueryBase</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-gistfile1-txt-LC4" class="blob-code blob-code-inner js-file-line">import time</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L5" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="5"></td> | |
| <td id="file-gistfile1-txt-LC5" class="blob-code blob-code-inner js-file-line">import random</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L6" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="6"></td> | |
| <td id="file-gistfile1-txt-LC6" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L7" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="7"></td> | |
| <td id="file-gistfile1-txt-LC7" class="blob-code blob-code-inner js-file-line">NEYNAR_API_KEY = ""</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L8" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="8"></td> | |
| <td id="file-gistfile1-txt-LC8" class="blob-code blob-code-inner js-file-line">DUNE_API_KEY = ""</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L9" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="9"></td> | |
| <td id="file-gistfile1-txt-LC9" class="blob-code blob-code-inner js-file-line">SIGNER_UUID = ""</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L10" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="10"></td> | |
| <td id="file-gistfile1-txt-LC10" class="blob-code blob-code-inner js-file-line">HEADERS = {'accept': 'application/json', 'api_key': NEYNAR_API_KEY}</td> | |
| </tr> | |
| </table> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
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| | Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |----------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Omningotex-7b-slerp](https://huggingface.co/liminerity/Omningotex-7b-slerp)| 44.9| 77.36| 76.59| 49.04| 61.97| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|24.02|± | 2.69| | |
| |agieval_logiqa_en | 0|acc |39.48|± | 1.92| | |
| | | |acc_norm|39.94|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |25.22|± | 2.87| | |
| | | |acc_norm|24.35|± | 2.84| | |
| |agieval_lsat_lr | 0|acc |54.31|± | 2.21| | |
| | | |acc_norm|54.71|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.91|± | 2.87| | |
| | | |acc_norm|65.80|± | 2.90| | |
| |agieval_sat_en | 0|acc |78.16|± | 2.89| | |
| | | |acc_norm|77.67|± | 2.91| | |
| |agieval_sat_en_without_passage| 0|acc |43.20|± | 3.46| | |
| | | |acc_norm|42.23|± | 3.45| | |
| |agieval_sat_math | 0|acc |32.73|± | 3.17| | |
| | | |acc_norm|30.45|± | 3.11| | |
| Average: 44.9% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.75|± | 1.37| | |
| | | |acc_norm|68.00|± | 1.36| | |
| |arc_easy | 0|acc |86.83|± | 0.69| | |
| | | |acc_norm|80.56|± | 0.81| | |
| |boolq | 1|acc |87.77|± | 0.57| | |
| |hellaswag | 0|acc |70.03|± | 0.46| | |
| | | |acc_norm|87.36|± | 0.33| | |
| |openbookqa | 0|acc |40.40|± | 2.20| | |
| | | |acc_norm|50.00|± | 2.24| | |
| |piqa | 0|acc |83.68|± | 0.86| | |
| | | |acc_norm|85.42|± | 0.82| | |
| |winogrande | 0|acc |82.40|± | 1.07| | |
| Average: 77.36% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |61.57|± | 1.7| | |
| | | |mc2 |76.59|± | 1.4| | |
| Average: 76.59% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|59.47|± | 3.57| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|61.79|± | 2.53| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|53.49|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.60|± | 2.11| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.43|± | 1.60| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.00|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|50.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.40|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|69.60|± | 1.03| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|53.35|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|37.68|± | 1.53| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.38|± | 3.33| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.56|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.10|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.52|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.71|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.00|± | 2.84| | |
| Average: 49.04% | |
| Average score: 61.97% | |
| Elapsed time: 02:07:00| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[MergeTrix-v4](https://huggingface.co/CultriX/MergeTrix-v4)| 45.54| 77.35| 72.19| 48.52| 60.9| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |28.74|± | 2.85| | |
| | | |acc_norm|28.35|± | 2.83| | |
| |agieval_logiqa_en | 0|acc |39.48|± | 1.92| | |
| | | |acc_norm|40.09|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|22.61|± | 2.76| | |
| |agieval_lsat_lr | 0|acc |52.55|± | 2.21| | |
| | | |acc_norm|52.75|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|65.80|± | 2.90| | |
| |agieval_sat_en | 0|acc |80.10|± | 2.79| | |
| | | |acc_norm|80.10|± | 2.79| | |
| |agieval_sat_en_without_passage| 0|acc |45.63|± | 3.48| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 45.54% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.38|± | 1.38| | |
| | | |acc_norm|67.32|± | 1.37| | |
| |arc_easy | 0|acc |87.42|± | 0.68| | |
| | | |acc_norm|83.25|± | 0.77| | |
| |boolq | 1|acc |88.26|± | 0.56| | |
| |hellaswag | 0|acc |69.20|± | 0.46| | |
| | | |acc_norm|86.90|± | 0.34| | |
| |openbookqa | 0|acc |38.60|± | 2.18| | |
| | | |acc_norm|49.00|± | 2.24| | |
| |piqa | 0|acc |83.24|± | 0.87| | |
| | | |acc_norm|85.75|± | 0.82| | |
| |winogrande | 0|acc |80.98|± | 1.10| | |
| Average: 77.35% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.16|± | 1.73| | |
| | | |mc2 |72.19|± | 1.47| | |
| Average: 72.19% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|56.84|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.77|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|46.90|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.20|± | 2.12| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.86|± | 1.59| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.33|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|47.80|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.80|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.70|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.13|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.57|± | 1.48| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.93|± | 3.31| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|76.06|± | 1.36| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.40|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.71|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.33|± | 2.84| | |
| Average: 48.52% | |
| Average score: 60.9% | |
| Elapsed time: 01:35:48| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |----------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)| 46.06| 76.77| 70.32| 47.86| 60.25| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.38|± | 2.77| | |
| | | |acc_norm|25.98|± | 2.76| | |
| |agieval_logiqa_en | 0|acc |38.56|± | 1.91| | |
| | | |acc_norm|39.17|± | 1.91| | |
| |agieval_lsat_ar | 0|acc |22.61|± | 2.76| | |
| | | |acc_norm|23.04|± | 2.78| | |
| |agieval_lsat_lr | 0|acc |51.96|± | 2.21| | |
| | | |acc_norm|53.14|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.17|± | 2.89| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |81.07|± | 2.74| | |
| | | |acc_norm|82.52|± | 2.65| | |
| |agieval_sat_en_without_passage| 0|acc |44.17|± | 3.47| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |37.27|± | 3.27| | |
| | | |acc_norm|34.55|± | 3.21| | |
| Average: 46.06% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |68.69|± | 1.36| | |
| | | |acc_norm|68.17|± | 1.36| | |
| |arc_easy | 0|acc |87.29|± | 0.68| | |
| | | |acc_norm|82.74|± | 0.78| | |
| |boolq | 1|acc |88.07|± | 0.57| | |
| |hellaswag | 0|acc |70.05|± | 0.46| | |
| | | |acc_norm|86.44|± | 0.34| | |
| |openbookqa | 0|acc |39.20|± | 2.19| | |
| | | |acc_norm|48.40|± | 2.24| | |
| |piqa | 0|acc |83.62|± | 0.86| | |
| | | |acc_norm|84.87|± | 0.84| | |
| |winogrande | 0|acc |78.69|± | 1.15| | |
| Average: 76.77% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |58.02|± | 1.73| | |
| | | |mc2 |70.32|± | 1.50| | |
| Average: 70.32% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|55.26|± | 3.62| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.77|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|43.41|± | 3.09| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|37.80|± | 2.17| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|25.43|± | 1.65| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|60.00|± | 2.83| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|50.80|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.40|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|70.70|± | 1.02| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|53.12|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|30.86|± | 1.46| | |
| |bigbench_snarks | 0|multiple_choice_grade|65.19|± | 3.55| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|74.75|± | 1.38| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|49.10|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.24|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.46|± | 0.93| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|60.00|± | 2.83| | |
| Average: 47.86% | |
| Average score: 60.25% | |
| Elapsed time: 03:25:54 | |
| D| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[OmniTrixAI](https://huggingface.co/CultriX/OmniTrixAI)| 44.94| 77.31| 70.62| 48.52| 60.35| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|24.41|± | 2.70| | |
| |agieval_logiqa_en | 0|acc |40.09|± | 1.92| | |
| | | |acc_norm|40.09|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |25.22|± | 2.87| | |
| | | |acc_norm|24.78|± | 2.85| | |
| |agieval_lsat_lr | 0|acc |50.98|± | 2.22| | |
| | | |acc_norm|52.75|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|66.54|± | 2.88| | |
| |agieval_sat_en | 0|acc |80.10|± | 2.79| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |44.17|± | 3.47| | |
| | | |acc_norm|42.72|± | 3.45| | |
| |agieval_sat_math | 0|acc |31.36|± | 3.14| | |
| | | |acc_norm|28.64|± | 3.05| | |
| Average: 44.94% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.15|± | 1.37| | |
| | | |acc_norm|67.15|± | 1.37| | |
| |arc_easy | 0|acc |87.21|± | 0.69| | |
| | | |acc_norm|83.25|± | 0.77| | |
| |boolq | 1|acc |88.10|± | 0.57| | |
| |hellaswag | 0|acc |69.71|± | 0.46| | |
| | | |acc_norm|86.98|± | 0.34| | |
| |openbookqa | 0|acc |39.60|± | 2.19| | |
| | | |acc_norm|48.60|± | 2.24| | |
| |piqa | 0|acc |83.84|± | 0.86| | |
| | | |acc_norm|85.26|± | 0.83| | |
| |winogrande | 0|acc |81.85|± | 1.08| | |
| Average: 77.31% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.53|± | 1.73| | |
| | | |mc2 |70.62|± | 1.49| | |
| Average: 70.62% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.37|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.50|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|46.12|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.80|± | 2.12| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.00|± | 1.62| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.33|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|49.00|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|57.20|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.75|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.24|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|34.17|± | 1.50| | |
| |bigbench_snarks | 0|multiple_choice_grade|71.27|± | 3.37| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.15|± | 1.38| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.50|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|21.76|± | 1.17| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.26|± | 0.94| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.33|± | 2.84| | |
| Average: 48.52% | |
| Average score: 60.35% | |
| Elapsed time: 02:41:45| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |--------------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[binarized-ingotrix-slerp-7b](https://huggingface.co/liminerity/binarized-ingotrix-slerp-7b)| 45.17| 76.74| 75.64| 49.57| 61.78| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |28.35|± | 2.83| | |
| | | |acc_norm|24.41|± | 2.70| | |
| |agieval_logiqa_en | 0|acc |39.48|± | 1.92| | |
| | | |acc_norm|40.55|± | 1.93| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|24.35|± | 2.84| | |
| |agieval_lsat_lr | 0|acc |54.12|± | 2.21| | |
| | | |acc_norm|55.10|± | 2.20| | |
| |agieval_lsat_rc | 0|acc |65.06|± | 2.91| | |
| | | |acc_norm|63.20|± | 2.95| | |
| |agieval_sat_en | 0|acc |79.61|± | 2.81| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |42.72|± | 3.45| | |
| | | |acc_norm|43.20|± | 3.46| | |
| |agieval_sat_math | 0|acc |31.36|± | 3.14| | |
| | | |acc_norm|30.91|± | 3.12| | |
| Average: 45.17% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.75|± | 1.37| | |
| | | |acc_norm|66.89|± | 1.38| | |
| |arc_easy | 0|acc |86.66|± | 0.70| | |
| | | |acc_norm|80.47|± | 0.81| | |
| |boolq | 1|acc |87.65|± | 0.58| | |
| |hellaswag | 0|acc |69.68|± | 0.46| | |
| | | |acc_norm|86.89|± | 0.34| | |
| |openbookqa | 0|acc |40.00|± | 2.19| | |
| | | |acc_norm|48.40|± | 2.24| | |
| |piqa | 0|acc |83.51|± | 0.87| | |
| | | |acc_norm|85.64|± | 0.82| | |
| |winogrande | 0|acc |81.22|± | 1.10| | |
| Average: 76.74% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |61.32|± | 1.70| | |
| | | |mc2 |75.64|± | 1.42| | |
| Average: 75.64% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|59.47|± | 3.57| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.41|± | 2.51| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|53.88|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|35.40|± | 2.14| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.71|± | 1.61| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|60.00|± | 2.83| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|52.00|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.30|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|69.60|± | 1.03| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.46|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|38.58|± | 1.54| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.38|± | 3.33| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|76.06|± | 1.36| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.90|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.32|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|20.17|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|60.00|± | 2.83| | |
| Average: 49.57% | |
| Average score: 61.78% | |
| Elapsed time: 02:23:11| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuralTrix-v3-bf16](https://huggingface.co/CultriX/NeuralTrix-v3-bf16)| 44.52| 76.84| 77.78| 49.37| 62.13| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|24.80|± | 2.72| | |
| |agieval_logiqa_en | 0|acc |37.63|± | 1.90| | |
| | | |acc_norm|38.25|± | 1.91| | |
| |agieval_lsat_ar | 0|acc |26.09|± | 2.90| | |
| | | |acc_norm|23.91|± | 2.82| | |
| |agieval_lsat_lr | 0|acc |53.73|± | 2.21| | |
| | | |acc_norm|54.51|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.17|± | 2.89| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |76.70|± | 2.95| | |
| | | |acc_norm|77.18|± | 2.93| | |
| |agieval_sat_en_without_passage| 0|acc |41.75|± | 3.44| | |
| | | |acc_norm|40.29|± | 3.43| | |
| |agieval_sat_math | 0|acc |33.64|± | 3.19| | |
| | | |acc_norm|31.82|± | 3.15| | |
| Average: 44.52% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.44|± | 1.39| | |
| | | |acc_norm|67.58|± | 1.37| | |
| |arc_easy | 0|acc |85.40|± | 0.72| | |
| | | |acc_norm|78.87|± | 0.84| | |
| |boolq | 1|acc |87.83|± | 0.57| | |
| |hellaswag | 0|acc |70.46|± | 0.46| | |
| | | |acc_norm|87.88|± | 0.33| | |
| |openbookqa | 0|acc |40.80|± | 2.20| | |
| | | |acc_norm|49.40|± | 2.24| | |
| |piqa | 0|acc |82.75|± | 0.88| | |
| | | |acc_norm|83.79|± | 0.86| | |
| |winogrande | 0|acc |82.56|± | 1.07| | |
| Average: 76.84% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |62.55|± | 1.69| | |
| | | |mc2 |77.78|± | 1.38| | |
| Average: 77.78% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.95|± | 3.58| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|62.06|± | 2.53| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|57.75|± | 3.08| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 1.95|± | 0.73| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|30.80|± | 2.07| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|21.29|± | 1.55| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|58.00|± | 2.85| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|57.80|± | 2.21| | |
| |bigbench_navigate | 0|multiple_choice_grade|52.70|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|67.70|± | 1.05| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|52.68|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|41.38|± | 1.56| | |
| |bigbench_snarks | 0|multiple_choice_grade|74.59|± | 3.25| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.56|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.84|± | 1.21| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|20.00|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|58.00|± | 2.85| | |
| Average: 49.37% | |
| Average score: 62.13% | |
| Elapsed time: 01:20:48| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[MergeTrix-7B](https://huggingface.co/CultriX/MergeTrix-7B)| 44.93| 76.85| 66.56| 47.18| 58.88| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.38|± | 2.77| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |39.94|± | 1.92| | |
| | | |acc_norm|40.09|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|20.87|± | 2.69| | |
| |agieval_lsat_lr | 0|acc |51.96|± | 2.21| | |
| | | |acc_norm|52.35|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.54|± | 2.88| | |
| | | |acc_norm|66.17|± | 2.89| | |
| |agieval_sat_en | 0|acc |80.58|± | 2.76| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |43.20|± | 3.46| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|30.45|± | 3.11| | |
| Average: 44.93% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.98|± | 1.37| | |
| | | |acc_norm|67.15|± | 1.37| | |
| |arc_easy | 0|acc |86.91|± | 0.69| | |
| | | |acc_norm|82.95|± | 0.77| | |
| |boolq | 1|acc |88.41|± | 0.56| | |
| |hellaswag | 0|acc |69.08|± | 0.46| | |
| | | |acc_norm|86.01|± | 0.35| | |
| |openbookqa | 0|acc |37.20|± | 2.16| | |
| | | |acc_norm|48.20|± | 2.24| | |
| |piqa | 0|acc |83.41|± | 0.87| | |
| | | |acc_norm|84.66|± | 0.84| | |
| |winogrande | 0|acc |80.58|± | 1.11| | |
| Average: 76.85% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |51.04|± | 1.75| | |
| | | |mc2 |66.56|± | 1.53| | |
| Average: 66.56% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.89|± | 3.59| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.58|± | 2.48| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|40.31|± | 3.06| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|24.79|± | 2.28| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|35.00|± | 2.14| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.29|± | 1.62| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|58.00|± | 2.85| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|43.60|± | 2.22| | |
| |bigbench_navigate | 0|multiple_choice_grade|55.40|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|72.90|± | 0.99| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|52.68|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|31.16|± | 1.47| | |
| |bigbench_snarks | 0|multiple_choice_grade|71.27|± | 3.37| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.56|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|41.70|± | 1.56| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.80|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.23|± | 0.92| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|58.00|± | 2.85| | |
| Average: 47.18% | |
| Average score: 58.88% | |
| Elapsed time: 02:12:36| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuralTrix-V2](https://huggingface.co/CultriX/NeuralTrix-V2)| 44.43| 77.01| 78.2| 49.81| 62.36| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|26.38|± | 2.77| | |
| |agieval_logiqa_en | 0|acc |38.86|± | 1.91| | |
| | | |acc_norm|37.94|± | 1.90| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|20.87|± | 2.69| | |
| |agieval_lsat_lr | 0|acc |52.55|± | 2.21| | |
| | | |acc_norm|53.33|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.43|± | 2.91| | |
| | | |acc_norm|64.31|± | 2.93| | |
| |agieval_sat_en | 0|acc |77.67|± | 2.91| | |
| | | |acc_norm|78.64|± | 2.86| | |
| |agieval_sat_en_without_passage| 0|acc |41.75|± | 3.44| | |
| | | |acc_norm|41.26|± | 3.44| | |
| |agieval_sat_math | 0|acc |33.64|± | 3.19| | |
| | | |acc_norm|32.73|± | 3.17| | |
| Average: 44.43% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.61|± | 1.39| | |
| | | |acc_norm|68.00|± | 1.36| | |
| |arc_easy | 0|acc |85.61|± | 0.72| | |
| | | |acc_norm|79.17|± | 0.83| | |
| |boolq | 1|acc |87.61|± | 0.58| | |
| |hellaswag | 0|acc |70.56|± | 0.45| | |
| | | |acc_norm|87.73|± | 0.33| | |
| |openbookqa | 0|acc |39.80|± | 2.19| | |
| | | |acc_norm|49.80|± | 2.24| | |
| |piqa | 0|acc |82.43|± | 0.89| | |
| | | |acc_norm|84.33|± | 0.85| | |
| |winogrande | 0|acc |82.40|± | 1.07| | |
| Average: 77.01% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |63.16|± | 1.69| | |
| | | |mc2 |78.20|± | 1.37| | |
| Average: 78.2% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|59.47|± | 3.57| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|60.16|± | 2.55| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|58.91|± | 3.07| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | |
| | | |exact_str_match | 0.56|± | 0.39| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|31.00|± | 2.07| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|21.86|± | 1.56| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|58.00|± | 2.21| | |
| |bigbench_navigate | 0|multiple_choice_grade|52.90|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|68.00|± | 1.04| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|56.70|± | 2.34| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|43.59|± | 1.57| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.93|± | 3.31| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.05|± | 1.38| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.60|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.84|± | 1.21| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.66|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84| | |
| Average: 49.81% | |
| Average score: 62.36% | |
| Elapsed time: 01:43:39| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[jaskier-7b-dpo-v3.3](https://huggingface.co/bardsai/jaskier-7b-dpo-v3.3)| 44.57| 76.53| 80| 49.22| 62.58| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|24.41|± | 2.70| | |
| |agieval_logiqa_en | 0|acc |37.33|± | 1.90| | |
| | | |acc_norm|37.48|± | 1.90| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|24.78|± | 2.85| | |
| |agieval_lsat_lr | 0|acc |53.73|± | 2.21| | |
| | | |acc_norm|54.71|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.43|± | 2.91| | |
| | | |acc_norm|65.80|± | 2.90| | |
| |agieval_sat_en | 0|acc |76.70|± | 2.95| | |
| | | |acc_norm|77.67|± | 2.91| | |
| |agieval_sat_en_without_passage| 0|acc |42.23|± | 3.45| | |
| | | |acc_norm|41.75|± | 3.44| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 44.57% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.78|± | 1.39| | |
| | | |acc_norm|67.75|± | 1.37| | |
| |arc_easy | 0|acc |84.55|± | 0.74| | |
| | | |acc_norm|77.86|± | 0.85| | |
| |boolq | 1|acc |86.94|± | 0.59| | |
| |hellaswag | 0|acc |69.17|± | 0.46| | |
| | | |acc_norm|87.18|± | 0.33| | |
| |openbookqa | 0|acc |40.60|± | 2.20| | |
| | | |acc_norm|50.20|± | 2.24| | |
| |piqa | 0|acc |82.48|± | 0.89| | |
| | | |acc_norm|83.90|± | 0.86| | |
| |winogrande | 0|acc |81.85|± | 1.08| | |
| Average: 76.53% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |64.38|± | 1.68| | |
| | | |mc2 |80.00|± | 1.33| | |
| Average: 80.0% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|60.53|± | 3.56| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|61.52|± | 2.54| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|61.63|± | 3.03| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|31.80|± | 2.08| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.86|± | 1.59| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|51.40|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|53.70|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|66.65|± | 1.05| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.91|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|39.28|± | 1.55| | |
| |bigbench_snarks | 0|multiple_choice_grade|71.27|± | 3.37| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|73.63|± | 1.40| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.36|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.66|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84| | |
| Average: 49.22% | |
| Average score: 62.58% | |
| Elapsed time: 05:35:20| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Aphasia-7B](https://huggingface.co/CultriX/Aphasia-7B)| 45.24| 77.25| 71.04| 48.17| 60.43| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |28.35|± | 2.83| | |
| | | |acc_norm|25.59|± | 2.74| | |
| |agieval_logiqa_en | 0|acc |38.71|± | 1.91| | |
| | | |acc_norm|40.55|± | 1.93| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|24.35|± | 2.84| | |
| |agieval_lsat_lr | 0|acc |52.16|± | 2.21| | |
| | | |acc_norm|52.75|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.91|± | 2.87| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |80.58|± | 2.76| | |
| | | |acc_norm|80.10|± | 2.79| | |
| |agieval_sat_en_without_passage| 0|acc |43.20|± | 3.46| | |
| | | |acc_norm|42.72|± | 3.45| | |
| |agieval_sat_math | 0|acc |34.09|± | 3.20| | |
| | | |acc_norm|30.45|± | 3.11| | |
| Average: 45.24% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |68.00|± | 1.36| | |
| | | |acc_norm|67.58|± | 1.37| | |
| |arc_easy | 0|acc |87.16|± | 0.69| | |
| | | |acc_norm|83.54|± | 0.76| | |
| |boolq | 1|acc |88.17|± | 0.56| | |
| |hellaswag | 0|acc |69.77|± | 0.46| | |
| | | |acc_norm|86.73|± | 0.34| | |
| |openbookqa | 0|acc |39.80|± | 2.19| | |
| | | |acc_norm|49.00|± | 2.24| | |
| |piqa | 0|acc |83.30|± | 0.87| | |
| | | |acc_norm|85.15|± | 0.83| | |
| |winogrande | 0|acc |80.58|± | 1.11| | |
| Average: 77.25% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.53|± | 1.73| | |
| | | |mc2 |71.04|± | 1.49| | |
| Average: 71.04% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|55.79|± | 3.61| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.31|± | 2.48| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|45.74|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|36.40|± | 2.15| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.43|± | 1.63| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|60.67|± | 2.83| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|48.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.90|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.75|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.91|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|30.26|± | 1.45| | |
| |bigbench_snarks | 0|multiple_choice_grade|67.96|± | 3.48| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.66|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|47.00|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.56|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.94|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|60.67|± | 2.83| | |
| Average: 48.17% | |
| Average score: 60.43% | |
| Elapsed time: 01:23:27| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[StableBeluga-7B](https://huggingface.co/stabilityai/StableBeluga-7B)| 35.36| 69.37| 50.09| 35.77| 47.65| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |25.20|± | 2.73| | |
| | | |acc_norm|25.59|± | 2.74| | |
| |agieval_logiqa_en | 0|acc |32.41|± | 1.84| | |
| | | |acc_norm|32.87|± | 1.84| | |
| |agieval_lsat_ar | 0|acc |19.57|± | 2.62| | |
| | | |acc_norm|17.83|± | 2.53| | |
| |agieval_lsat_lr | 0|acc |33.53|± | 2.09| | |
| | | |acc_norm|36.08|± | 2.13| | |
| |agieval_lsat_rc | 0|acc |43.12|± | 3.03| | |
| | | |acc_norm|43.12|± | 3.03| | |
| |agieval_sat_en | 0|acc |64.56|± | 3.34| | |
| | | |acc_norm|62.62|± | 3.38| | |
| |agieval_sat_en_without_passage| 0|acc |39.81|± | 3.42| | |
| | | |acc_norm|38.83|± | 3.40| | |
| |agieval_sat_math | 0|acc |25.45|± | 2.94| | |
| | | |acc_norm|25.91|± | 2.96| | |
| Average: 35.36% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |49.40|± | 1.46| | |
| | | |acc_norm|52.30|± | 1.46| | |
| |arc_easy | 0|acc |80.22|± | 0.82| | |
| | | |acc_norm|78.24|± | 0.85| | |
| |boolq | 1|acc |82.69|± | 0.66| | |
| |hellaswag | 0|acc |58.32|± | 0.49| | |
| | | |acc_norm|77.13|± | 0.42| | |
| |openbookqa | 0|acc |34.80|± | 2.13| | |
| | | |acc_norm|43.80|± | 2.22| | |
| |piqa | 0|acc |78.78|± | 0.95| | |
| | | |acc_norm|80.03|± | 0.93| | |
| |winogrande | 0|acc |71.43|± | 1.27| | |
| Average: 69.37% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |34.76|± | 1.67| | |
| | | |mc2 |50.09|± | 1.54| | |
| Average: 50.09% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.95|± | 3.58| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.77|± | 2.49| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|34.88|± | 2.97| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade| 0.00|± | 0.00| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|25.60|± | 1.95| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|17.57|± | 1.44| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|42.00|± | 2.85| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|29.40|± | 2.04| | |
| |bigbench_navigate | 0|multiple_choice_grade|50.00|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|54.60|± | 1.11| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|29.91|± | 2.17| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|29.66|± | 1.45| | |
| |bigbench_snarks | 0|multiple_choice_grade|61.88|± | 3.62| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|49.70|± | 1.59| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|18.20|± | 1.22| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|19.52|± | 1.12| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|15.26|± | 0.86| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|42.00|± | 2.85| | |
| Average: 35.77% | |
| Average score: 47.65% | |
| Elapsed time: 01:22:36| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |----------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[dpo-binarized-NeuralTrix-7B](https://huggingface.co/eren23/dpo-binarized-NeuralTrix-7B)| 44.57| 76.34| 79.81| 49.27| 62.5| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.77|± | 2.78| | |
| | | |acc_norm|24.41|± | 2.70| | |
| |agieval_logiqa_en | 0|acc |37.94|± | 1.90| | |
| | | |acc_norm|37.94|± | 1.90| | |
| |agieval_lsat_ar | 0|acc |25.22|± | 2.87| | |
| | | |acc_norm|25.22|± | 2.87| | |
| |agieval_lsat_lr | 0|acc |52.94|± | 2.21| | |
| | | |acc_norm|55.49|± | 2.20| | |
| |agieval_lsat_rc | 0|acc |65.06|± | 2.91| | |
| | | |acc_norm|65.06|± | 2.91| | |
| |agieval_sat_en | 0|acc |76.70|± | 2.95| | |
| | | |acc_norm|77.67|± | 2.91| | |
| |agieval_sat_en_without_passage| 0|acc |41.75|± | 3.44| | |
| | | |acc_norm|40.78|± | 3.43| | |
| |agieval_sat_math | 0|acc |31.82|± | 3.15| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 44.57% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |64.85|± | 1.40| | |
| | | |acc_norm|66.89|± | 1.38| | |
| |arc_easy | 0|acc |84.51|± | 0.74| | |
| | | |acc_norm|77.31|± | 0.86| | |
| |boolq | 1|acc |86.91|± | 0.59| | |
| |hellaswag | 0|acc |69.08|± | 0.46| | |
| | | |acc_norm|87.20|± | 0.33| | |
| |openbookqa | 0|acc |41.00|± | 2.20| | |
| | | |acc_norm|50.60|± | 2.24| | |
| |piqa | 0|acc |82.26|± | 0.89| | |
| | | |acc_norm|83.73|± | 0.86| | |
| |winogrande | 0|acc |81.69|± | 1.09| | |
| Average: 76.34% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |63.77|± | 1.68| | |
| | | |mc2 |79.81|± | 1.34| | |
| Average: 79.81% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|60.53|± | 3.56| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|61.52|± | 2.54| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|60.85|± | 3.04| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.40|± | 2.10| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.86|± | 1.59| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|60.00|± | 2.83| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|51.40|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|54.70|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|66.05|± | 1.06| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.13|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|39.18|± | 1.55| | |
| |bigbench_snarks | 0|multiple_choice_grade|72.38|± | 3.33| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|72.72|± | 1.42| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.00|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.52|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.43|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|60.00|± | 2.83| | |
| Average: 49.27% | |
| Average score: 62.5% | |
| Elapsed time: 02:07:06| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[NeuralTrix-7B-dpo](https://huggingface.co/CultriX/NeuralTrix-7B-dpo)| 44.61| 76.33| 79.8| 49.24| 62.5| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.17|± | 2.80| | |
| | | |acc_norm|24.80|± | 2.72| | |
| |agieval_logiqa_en | 0|acc |37.79|± | 1.90| | |
| | | |acc_norm|37.63|± | 1.90| | |
| |agieval_lsat_ar | 0|acc |25.22|± | 2.87| | |
| | | |acc_norm|25.22|± | 2.87| | |
| |agieval_lsat_lr | 0|acc |52.94|± | 2.21| | |
| | | |acc_norm|55.29|± | 2.20| | |
| |agieval_lsat_rc | 0|acc |64.68|± | 2.92| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |76.70|± | 2.95| | |
| | | |acc_norm|78.16|± | 2.89| | |
| |agieval_sat_en_without_passage| 0|acc |41.75|± | 3.44| | |
| | | |acc_norm|40.78|± | 3.43| | |
| |agieval_sat_math | 0|acc |31.82|± | 3.15| | |
| | | |acc_norm|29.55|± | 3.08| | |
| Average: 44.61% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |64.93|± | 1.39| | |
| | | |acc_norm|66.89|± | 1.38| | |
| |arc_easy | 0|acc |84.47|± | 0.74| | |
| | | |acc_norm|77.40|± | 0.86| | |
| |boolq | 1|acc |86.97|± | 0.59| | |
| |hellaswag | 0|acc |69.06|± | 0.46| | |
| | | |acc_norm|87.21|± | 0.33| | |
| |openbookqa | 0|acc |41.20|± | 2.20| | |
| | | |acc_norm|50.60|± | 2.24| | |
| |piqa | 0|acc |82.26|± | 0.89| | |
| | | |acc_norm|83.57|± | 0.86| | |
| |winogrande | 0|acc |81.69|± | 1.09| | |
| Average: 76.33% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |63.77|± | 1.68| | |
| | | |mc2 |79.80|± | 1.34| | |
| Average: 79.8% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|60.53|± | 3.56| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|61.52|± | 2.54| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|60.47|± | 3.05| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.40|± | 2.10| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.86|± | 1.59| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|60.33|± | 2.83| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|51.40|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|54.70|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|66.10|± | 1.06| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.91|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|39.38|± | 1.55| | |
| |bigbench_snarks | 0|multiple_choice_grade|71.82|± | 3.35| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|72.72|± | 1.42| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.00|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.36|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.43|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|60.33|± | 2.83| | |
| Average: 49.24% | |
| Average score: 62.5% | |
| Elapsed time: 01:21:31 | |
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| List of quantitative trading firms | |
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| <li><a href="https://www.3redpartners.com" rel="nofollow">3Red Partners</a></li> | |
| <li><a href="https://www.aprioriinvestments.com" rel="nofollow">A Priori Investments</a></li> | |
| <li><a href="https://www.acadian-asset.com" rel="nofollow">Acadian Asset Management</a></li> | |
| <li><a href="https://akunacapital.com" rel="nofollow">Akuna Capital</a></li> | |
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| <li><a href="https://www.alphataraxia.com" rel="nofollow">Alphataraxia Management</a></li> | |
| <li><a href="http://www.alyeskagroup.com" rel="nofollow">Alyeska Investment Group</a></li> | |
| <li><a href="https://ansatz.capital" rel="nofollow">Ansatz Capital</a></li> | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-postgresql-is-enough" class="anchor" aria-hidden="true" tabindex="-1" href="#postgresql-is-enough"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>PostgreSQL is Enough</h1> | |
| <ul dir="auto"> | |
| <li><a href="https://sive.rs/pg" rel="nofollow">Simplify: move code into database functions</a></li> | |
| <li><a href="https://www.amazingcto.com/postgres-for-everything/" rel="nofollow">Just Use Postgres for Everything</a></li> | |
| <li><a href="https://www.2ndquadrant.com/en/blog/postgresql-is-the-worlds-best-database/" rel="nofollow">PostgreSQL is the worlds’ best database</a></li> | |
| <li><a href="https://news.ycombinator.com/item?id=39273954" rel="nofollow">Hacker News discussion</a></li> | |
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| for <a href="https://github.com/debridmediamanager/zurg-testing/issues/72">https://github.com/debridmediamanager/zurg-testing/issues/72</a> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Python" data-tagsearch-path="trigger_scan.py"> | |
| <tr> | |
| <td id="file-trigger_scan-py-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-trigger_scan-py-LC1" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>os</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-trigger_scan-py-LC2" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>subprocess</span> <span class=pl-k>import</span> <span class=pl-s1>check_output</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-trigger_scan-py-LC3" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>pprint</span> <span class=pl-k>import</span> <span class=pl-s1>pprint</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-trigger_scan-py-LC4" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L5" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="5"></td> | |
| <td id="file-trigger_scan-py-LC5" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>plexapi</span>.<span class=pl-s1>server</span> <span class=pl-k>import</span> <span class=pl-v>PlexServer</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L6" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="6"></td> | |
| <td id="file-trigger_scan-py-LC6" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L7" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="7"></td> | |
| <td id="file-trigger_scan-py-LC7" class="blob-code blob-code-inner js-file-line"><span class=pl-k>def</span> <span class=pl-en>process_movie_section</span>(<span class=pl-s1>section</span>, <span class=pl-s1>plex_media_paths</span>, <span class=pl-s1>rclone_mount</span>):</td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L8" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="8"></td> | |
| <td id="file-trigger_scan-py-LC8" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>for</span> <span class=pl-s1>directory</span> <span class=pl-c1>in</span> <span class=pl-s1>section</span>.<span class=pl-en>all</span>():</td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L9" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="9"></td> | |
| <td id="file-trigger_scan-py-LC9" class="blob-code blob-code-inner js-file-line"> <span class=pl-c># in case of a movie, this will host a list of files</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-trigger_scan-py-L10" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="10"></td> | |
| <td id="file-trigger_scan-py-LC10" class="blob-code blob-code-inner js-file-line"> <span class=pl-c># which is actually just 1 file, mentioning the movie's location</span></td> | |
| </tr> | |
| </table> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
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| / <a href="/iamucil/7578dc7df7d72e1d78c8f5543db3fbcc"><strong class="css-truncate-target">go mod rename module.sh</strong></a> | |
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| <span class="link">View <strong>go mod rename module.sh</strong></span> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Shell" data-tagsearch-path="go mod rename module.sh"> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-go-mod-rename-module-sh-LC1" class="blob-code blob-code-inner js-file-line">go mod edit -module {NEW_MODULE_NAME}</td> | |
| </tr> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-go-mod-rename-module-sh-LC2" class="blob-code blob-code-inner js-file-line">-- rename all imported module</td> | |
| </tr> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-go-mod-rename-module-sh-LC3" class="blob-code blob-code-inner js-file-line">find <span class="pl-c1">.</span> -type f -name <span class="pl-s"><span class="pl-pds">'</span>*.go<span class="pl-pds">'</span></span> \</td> | |
| </tr> | |
| <tr> | |
| <td id="file-go-mod-rename-module-sh-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-go-mod-rename-module-sh-LC4" class="blob-code blob-code-inner js-file-line"> -exec sed -i -e <span class="pl-s"><span class="pl-pds">'</span>s,{OLD_MODULE},{NEW_MODULE},g<span class="pl-pds">'</span></span> {} <span class="pl-cce">\;</span></td> | |
| </tr> | |
| </table> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
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| / <a href="/LevanKvirkvelia/4ebc00be62b914d3a14811d7a0ea56ea"><strong class="css-truncate-target">nanoBERT.py</strong></a> | |
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| Last active | |
| <relative-time tense="past" datetime="2024-02-14T23:25:14Z" data-view-component="true">February 14, 2024 23:25</relative-time> | |
| </div> | |
| <span class="f6 color-fg-muted"> | |
| nanoBERT, inspired by <a class="user-mention" data-hovercard-type="user" data-hovercard-url="/users/karpathy/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/karpathy">@karpathy</a>'s nanoGPT | |
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| <span class="link">View <strong>nanoBERT.py</strong></span> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Python" data-tagsearch-path="nanoBERT.py"> | |
| <tr> | |
| <td id="file-nanobert-py-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-nanobert-py-LC1" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>torch</span>.<span class=pl-s1>nn</span> <span class=pl-k>as</span> <span class=pl-s1>nn</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-nanobert-py-LC2" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>torch</span>.<span class=pl-s1>nn</span>.<span class=pl-s1>functional</span> <span class=pl-k>as</span> <span class=pl-v>F</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-nanobert-py-LC3" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>math</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-nanobert-py-LC4" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>typing</span> <span class=pl-k>import</span> <span class=pl-v>Optional</span>, <span class=pl-v>Tuple</span></td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L5" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="5"></td> | |
| <td id="file-nanobert-py-LC5" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L6" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="6"></td> | |
| <td id="file-nanobert-py-LC6" class="blob-code blob-code-inner js-file-line"><span class=pl-k>class</span> <span class=pl-v>BertSelfAttention</span>(<span class=pl-s1>nn</span>.<span class=pl-v>Module</span>):</td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L7" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="7"></td> | |
| <td id="file-nanobert-py-LC7" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>def</span> <span class=pl-en>__init__</span>(<span class=pl-s1>self</span>, <span class=pl-s1>config</span>):</td> | |
| </tr> | |
| <tr> | |
| <td id="file-nanobert-py-L8" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="8"></td> | |
| <td id="file-nanobert-py-LC8" class="blob-code blob-code-inner js-file-line"> <span class=pl-en>super</span>().<span class=pl-en>__init__</span>()</td> | |
| </tr> | |
| <tr> | |
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| <td id="file-nanobert-py-LC10" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>if</span> <span class=pl-s1>config</span>.<span class=pl-s1>hidden_size</span> <span class=pl-c1>%</span> <span class=pl-s1>config</span>.<span class=pl-s1>num_attention_heads</span> <span class=pl-c1>!=</span> <span class=pl-c1>0</span>:</td> | |
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| / <a href="/jamesmacwhite/6a642cb6bad00c5cefa91ec3d742e2a6"><strong class="css-truncate-target">Workarounds for Netflix and the blocking of IPv6 tunnels.md</strong></a> | |
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| Prevent proxy/VPN streaming error messages from Netflix when using a Hurricane Electric IPv6 tunnel. | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-workarounds-for-netflix-and-the-blocking-of-hurricane-electric-ipv6-tunnels" class="anchor" aria-hidden="true" tabindex="-1" href="#workarounds-for-netflix-and-the-blocking-of-hurricane-electric-ipv6-tunnels"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Workarounds for Netflix and the blocking of Hurricane Electric IPv6 tunnels</h1> | |
| <h6 dir="auto"><a id="user-content-the-dreaded-you-seem-to-be-using-an-unblocker-or-proxy-error-message-cool-story-bro" class="anchor" aria-hidden="true" tabindex="-1" href="#the-dreaded-you-seem-to-be-using-an-unblocker-or-proxy-error-message-cool-story-bro"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>The dreaded "You seem to be using an unblocker or proxy." error message. Cool story bro.</h6> | |
| <p dir="auto"><em>This gist was essentially created out of my own <a href="https://blog.jmwhite.co.uk/2016/06/12/netflix-starts-blocking-ipv6-tunnels/" rel="nofollow">rant about Netflix being hostile to IPv6 tunnel services since June 2016</a>. You are welcome to read my opinion on the matter, this is the more technical side to the issue and how to combat it within your own network.</em></p> | |
| <p dir="auto">Since I wrote this, various GitHub users have contributed their thoughts and ideas which has been incorporated into this gist. Thank you to everyone who have contributed their own methods and implementations.</p> | |
| <h2 dir="auto"><a id="user-content-the-problem" class="anchor" aria-hidden="true" tabindex="-1" href="#the-problem"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>The problem</h2> | |
| <p dir="auto">Netflix now treats IPv6 tunnel brokers (such as Hurricane Electric) as proxy servers. A while ago it became apparent to users and Netflix that somewhat by accident, IPv6 tunnel users were being served content outside of their geolocation because of the way Netflix was identifyi</p> | |
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| / <a href="/eyecatchup/0757b3d8b989fe433979db2ea7d95a01"><strong class="css-truncate-target">id3-ffmpeg.md</strong></a> | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-getset-id3-meta-tags-using-ffmpeg" class="anchor" aria-hidden="true" tabindex="-1" href="#getset-id3-meta-tags-using-ffmpeg"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Get/set ID3 meta tags using ffmpeg</h1> | |
| <p dir="auto">A quick guide on how to read/write/modify <strong>ID3</strong> metadata tags for audio / media files using <strong><code>ffmpeg</code></strong>.</p> | |
| <p dir="auto"><a href="https://ffmpeg.org/" rel="nofollow">FFmpeg</a> has a free-form command line option that allows the user to specify key-value-pairs for encoding metadata. Let's take a look.</p> | |
| <h2 dir="auto"><a id="user-content-1-read-id3-metadata" class="anchor" aria-hidden="true" tabindex="-1" href="#1-read-id3-metadata"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>1. <em><strong>Read</strong></em> ID3 metadata</h2> | |
| <p dir="auto">To list all global metadata tags for a media file, just set an input but no output file.</p> | |
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| / <a href="/Klerith/ca7e57fae3c9ab92ad08baadc6c26177"><strong class="css-truncate-target">vite-testing-config.md</strong></a> | |
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| Vite + Jest + React Testing Library - Configuraciones a seguir | |
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| <span class="link">View <strong>vite-testing-config.md</strong></span> | |
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| <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-instalación-y-configuracion-de-jest--react-testing-library" class="anchor" aria-hidden="true" tabindex="-1" href="#instalación-y-configuracion-de-jest--react-testing-library"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>Instalación y configuracion de Jest + React Testing Library</h1> | |
| <h2 dir="auto"><a id="user-content-en-proyectos-de-react--vite" class="anchor" aria-hidden="true" tabindex="-1" href="#en-proyectos-de-react--vite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a>En proyectos de React + Vite</h2> | |
| <ol dir="auto"> | |
| <li>Instalaciones:</li> | |
| </ol> | |
| <pre><code>yarn add --dev jest babel-jest @babel/preset-env @babel/preset-react | |
| yarn add --dev @testing-library/react @types/jest jest-environment-jsdom | |
| </code></pre> | |
| <ol start="2" dir="auto"> | |
| <li>Opcional: Si usamos Fetch API en el proyecto:</li> | |
| </ol> | |
| </article> | |
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| / <a href="/alexpaden/8ece0b1cfc71d920b4bb99cb16702ab7"><strong class="css-truncate-target">gist:8ece0b1cfc71d920b4bb99cb16702ab7</strong></a> | |
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| Created | |
| <relative-time tense="past" datetime="2024-02-14T22:58:32Z" data-view-component="true">February 14, 2024 22:58</relative-time> | |
| </div> | |
| <span class="f6 color-fg-muted"> | |
| farcaster follower via dune queries | |
| </span> | |
| </div> | |
| </div> | |
| </div> | |
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| <a class="link-overlay" href="https://gist.github.com/alexpaden/8ece0b1cfc71d920b4bb99cb16702ab7"> | |
| <span class="link">View <strong>gist:8ece0b1cfc71d920b4bb99cb16702ab7</strong></span> | |
| </a> <div id="file-gistfile1-txt" class="file my-2"> | |
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| <div class="js-check-bidi js-blob-code-container blob-code-content"> | |
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| <path d="M6.457 1.047c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0 1 14.082 15H1.918a1.75 1.75 0 0 1-1.543-2.575Zm1.763.707a.25.25 0 0 0-.44 0L1.698 13.132a.25.25 0 0 0 .22.368h12.164a.25.25 0 0 0 .22-.368Zm.53 3.996v2.5a.75.75 0 0 1-1.5 0v-2.5a.75.75 0 0 1 1.5 0ZM9 11a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z"></path> | |
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| <table data-hpc class="highlight tab-size js-file-line-container js-code-nav-container js-tagsearch-file" data-tab-size="8" data-paste-markdown-skip data-tagsearch-lang="Text" data-tagsearch-path="gistfile1.txt"> | |
| <tr> | |
| <td id="file-gistfile1-txt-L1" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="1"></td> | |
| <td id="file-gistfile1-txt-LC1" class="blob-code blob-code-inner js-file-line">import requests</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L2" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="2"></td> | |
| <td id="file-gistfile1-txt-LC2" class="blob-code blob-code-inner js-file-line">from dune_client.client import DuneClient</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L3" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="3"></td> | |
| <td id="file-gistfile1-txt-LC3" class="blob-code blob-code-inner js-file-line">from dune_client.query import QueryBase</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L4" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="4"></td> | |
| <td id="file-gistfile1-txt-LC4" class="blob-code blob-code-inner js-file-line">import time</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L5" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="5"></td> | |
| <td id="file-gistfile1-txt-LC5" class="blob-code blob-code-inner js-file-line">import random</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L6" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="6"></td> | |
| <td id="file-gistfile1-txt-LC6" class="blob-code blob-code-inner js-file-line"> | |
| </td> | |
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| <td id="file-gistfile1-txt-L7" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="7"></td> | |
| <td id="file-gistfile1-txt-LC7" class="blob-code blob-code-inner js-file-line">NEYNAR_API_KEY = ""</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L8" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="8"></td> | |
| <td id="file-gistfile1-txt-LC8" class="blob-code blob-code-inner js-file-line">DUNE_API_KEY = ""</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L9" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="9"></td> | |
| <td id="file-gistfile1-txt-LC9" class="blob-code blob-code-inner js-file-line">SIGNER_UUID = ""</td> | |
| </tr> | |
| <tr> | |
| <td id="file-gistfile1-txt-L10" class="blob-num js-line-number js-code-nav-line-number js-blob-rnum" data-line-number="10"></td> | |
| <td id="file-gistfile1-txt-LC10" class="blob-code blob-code-inner js-file-line">HEADERS = {'accept': 'application/json', 'api_key': NEYNAR_API_KEY}</td> | |
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| | Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |----------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[supermario_v2](https://huggingface.co/vanillaOVO/supermario_v2)| 45.2| 77.21| 71.67| 48.87| 60.74| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.38|± | 2.77| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |40.40|± | 1.92| | |
| | | |acc_norm|40.55|± | 1.93| | |
| |agieval_lsat_ar | 0|acc |23.04|± | 2.78| | |
| | | |acc_norm|23.48|± | 2.80| | |
| |agieval_lsat_lr | 0|acc |51.18|± | 2.22| | |
| | | |acc_norm|51.76|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|65.43|± | 2.91| | |
| |agieval_sat_en | 0|acc |78.16|± | 2.89| | |
| | | |acc_norm|79.13|± | 2.84| | |
| |agieval_sat_en_without_passage| 0|acc |45.15|± | 3.48| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |33.18|± | 3.18| | |
| | | |acc_norm|31.36|± | 3.14| | |
| Average: 45.2% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.87|± | 1.39| | |
| | | |acc_norm|67.24|± | 1.37| | |
| |arc_easy | 0|acc |86.83|± | 0.69| | |
| | | |acc_norm|82.74|± | 0.78| | |
| |boolq | 1|acc |88.01|± | 0.57| | |
| |hellaswag | 0|acc |69.11|± | 0.46| | |
| | | |acc_norm|86.96|± | 0.34| | |
| |openbookqa | 0|acc |38.60|± | 2.18| | |
| | | |acc_norm|48.60|± | 2.24| | |
| |piqa | 0|acc |83.19|± | 0.87| | |
| | | |acc_norm|85.09|± | 0.83| | |
| |winogrande | 0|acc |81.85|± | 1.08| | |
| Average: 77.21% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |56.55|± | 1.74| | |
| | | |mc2 |71.67|± | 1.48| | |
| Average: 71.67% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.37|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.96|± | 2.50| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|48.45|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 2.23|± | 0.78| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.20|± | 2.11| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.86|± | 1.61| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|58.33|± | 2.85| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|48.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|55.60|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.85|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.13|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|33.97|± | 1.50| | |
| |bigbench_snarks | 0|multiple_choice_grade|75.14|± | 3.22| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.66|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|54.10|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.88|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|20.11|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|58.33|± | 2.85| | |
| Average: 48.87% | |
| Average score: 60.74% | |
| Elapsed time: 02:53:39| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-7B-v3](https://huggingface.co/CultriX/Wernicke-7B-v3)| 45.57| 77.39| 71.06| 48.46| 60.62| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |26.38|± | 2.77| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |39.63|± | 1.92| | |
| | | |acc_norm|39.78|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |25.22|± | 2.87| | |
| | | |acc_norm|24.78|± | 2.85| | |
| |agieval_lsat_lr | 0|acc |52.94|± | 2.21| | |
| | | |acc_norm|52.94|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.91|± | 2.87| | |
| | | |acc_norm|66.54|± | 2.88| | |
| |agieval_sat_en | 0|acc |81.07|± | 2.74| | |
| | | |acc_norm|81.07|± | 2.74| | |
| |agieval_sat_en_without_passage| 0|acc |45.15|± | 3.48| | |
| | | |acc_norm|44.66|± | 3.47| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|29.55|± | 3.08| | |
| Average: 45.57% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |68.09|± | 1.36| | |
| | | |acc_norm|67.92|± | 1.36| | |
| |arc_easy | 0|acc |87.16|± | 0.69| | |
| | | |acc_norm|83.16|± | 0.77| | |
| |boolq | 1|acc |88.26|± | 0.56| | |
| |hellaswag | 0|acc |69.69|± | 0.46| | |
| | | |acc_norm|86.56|± | 0.34| | |
| |openbookqa | 0|acc |40.00|± | 2.19| | |
| | | |acc_norm|50.00|± | 2.24| | |
| |piqa | 0|acc |83.46|± | 0.87| | |
| | | |acc_norm|85.15|± | 0.83| | |
| |winogrande | 0|acc |80.66|± | 1.11| | |
| Average: 77.39% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |57.65|± | 1.73| | |
| | | |mc2 |71.06|± | 1.48| | |
| Average: 71.06% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|55.79|± | 3.61| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.96|± | 2.50| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|45.74|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|37.00|± | 2.16| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|25.43|± | 1.65| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|51.20|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|57.80|± | 1.56| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.85|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|54.02|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.67|± | 1.49| | |
| |bigbench_snarks | 0|multiple_choice_grade|69.06|± | 3.45| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.05|± | 1.38| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|49.60|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|21.68|± | 1.17| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.31|± | 0.94| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84| | |
| Average: 48.46% | |
| Average score: 60.62% | |
| Elapsed time: 01:39:16| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[SevereNeuralBeagleTrix-7B](https://huggingface.co/CultriX/SevereNeuralBeagleTrix-7B)| 44.37| 77.38| 69.59| 47.95| 59.82| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |25.59|± | 2.74| | |
| | | |acc_norm|24.80|± | 2.72| | |
| |agieval_logiqa_en | 0|acc |39.32|± | 1.92| | |
| | | |acc_norm|39.63|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|23.04|± | 2.78| | |
| |agieval_lsat_lr | 0|acc |53.14|± | 2.21| | |
| | | |acc_norm|53.33|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|64.68|± | 2.92| | |
| |agieval_sat_en | 0|acc |78.16|± | 2.89| | |
| | | |acc_norm|78.16|± | 2.89| | |
| |agieval_sat_en_without_passage| 0|acc |43.69|± | 3.46| | |
| | | |acc_norm|42.23|± | 3.45| | |
| |agieval_sat_math | 0|acc |31.36|± | 3.14| | |
| | | |acc_norm|29.09|± | 3.07| | |
| Average: 44.37% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.06|± | 1.37| | |
| | | |acc_norm|68.43|± | 1.36| | |
| |arc_easy | 0|acc |87.12|± | 0.69| | |
| | | |acc_norm|83.38|± | 0.76| | |
| |boolq | 1|acc |88.13|± | 0.57| | |
| |hellaswag | 0|acc |69.39|± | 0.46| | |
| | | |acc_norm|86.95|± | 0.34| | |
| |openbookqa | 0|acc |39.60|± | 2.19| | |
| | | |acc_norm|48.40|± | 2.24| | |
| |piqa | 0|acc |83.24|± | 0.87| | |
| | | |acc_norm|84.93|± | 0.83| | |
| |winogrande | 0|acc |81.45|± | 1.09| | |
| Average: 77.38% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |55.81|± | 1.74| | |
| | | |mc2 |69.59|± | 1.50| | |
| Average: 69.59% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|57.37|± | 3.60| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|65.31|± | 2.48| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|44.19|± | 3.10| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.28|± | 2.20| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.00|± | 2.12| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.43|± | 1.60| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.00|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|47.00|± | 2.23| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.00|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|72.40|± | 1.00| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.13|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|30.46|± | 1.46| | |
| |bigbench_snarks | 0|multiple_choice_grade|74.59|± | 3.25| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|74.14|± | 1.40| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.30|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.40|± | 1.18| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.03|± | 0.94| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.00|± | 2.86| | |
| Average: 47.95% | |
| Average score: 59.82% | |
| Elapsed time: 02:35:46| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-7B-v6](https://huggingface.co/CultriX/Wernicke-7B-v6)| 45.11| 77.39| 71.21| 48.22| 60.48| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |29.13|± | 2.86| | |
| | | |acc_norm|26.38|± | 2.77| | |
| |agieval_logiqa_en | 0|acc |40.40|± | 1.92| | |
| | | |acc_norm|40.71|± | 1.93| | |
| |agieval_lsat_ar | 0|acc |24.35|± | 2.84| | |
| | | |acc_norm|23.04|± | 2.78| | |
| |agieval_lsat_lr | 0|acc |52.55|± | 2.21| | |
| | | |acc_norm|53.33|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |66.91|± | 2.87| | |
| | | |acc_norm|65.06|± | 2.91| | |
| |agieval_sat_en | 0|acc |80.10|± | 2.79| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |44.66|± | 3.47| | |
| | | |acc_norm|43.20|± | 3.46| | |
| |agieval_sat_math | 0|acc |32.73|± | 3.17| | |
| | | |acc_norm|29.55|± | 3.08| | |
| Average: 45.11% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |66.72|± | 1.38| | |
| | | |acc_norm|67.75|± | 1.37| | |
| |arc_easy | 0|acc |87.33|± | 0.68| | |
| | | |acc_norm|83.12|± | 0.77| | |
| |boolq | 1|acc |88.26|± | 0.56| | |
| |hellaswag | 0|acc |69.66|± | 0.46| | |
| | | |acc_norm|86.90|± | 0.34| | |
| |openbookqa | 0|acc |39.40|± | 2.19| | |
| | | |acc_norm|48.60|± | 2.24| | |
| |piqa | 0|acc |83.41|± | 0.87| | |
| | | |acc_norm|85.36|± | 0.82| | |
| |winogrande | 0|acc |81.77|± | 1.09| | |
| Average: 77.39% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |56.67|± | 1.73| | |
| | | |mc2 |71.21|± | 1.49| | |
| Average: 71.21% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|58.95|± | 3.58| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.96|± | 2.50| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|45.35|± | 3.11| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|34.60|± | 2.13| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|24.43|± | 1.63| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.67|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|48.20|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.90|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|70.60|± | 1.02| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|53.57|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|30.06|± | 1.45| | |
| |bigbench_snarks | 0|multiple_choice_grade|73.48|± | 3.29| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.76|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|52.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.80|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.80|± | 0.93| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.67|± | 2.86| | |
| Average: 48.22% | |
| Average score: 60.48% | |
| Elapsed time: 01:26:17| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-----------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)| 44.27| 77.86| 67.46| 48.09| 59.42| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.17|± | 2.80| | |
| | | |acc_norm|25.20|± | 2.73| | |
| |agieval_logiqa_en | 0|acc |38.25|± | 1.91| | |
| | | |acc_norm|39.02|± | 1.91| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|23.91|± | 2.82| | |
| |agieval_lsat_lr | 0|acc |49.80|± | 2.22| | |
| | | |acc_norm|51.96|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|64.68|± | 2.92| | |
| |agieval_sat_en | 0|acc |79.13|± | 2.84| | |
| | | |acc_norm|79.13|± | 2.84| | |
| |agieval_sat_en_without_passage| 0|acc |41.26|± | 3.44| | |
| | | |acc_norm|40.29|± | 3.43| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|30.00|± | 3.10| | |
| Average: 44.27% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.41|± | 1.37| | |
| | | |acc_norm|67.75|± | 1.37| | |
| |arc_easy | 0|acc |86.83|± | 0.69| | |
| | | |acc_norm|82.37|± | 0.78| | |
| |boolq | 1|acc |88.17|± | 0.56| | |
| |hellaswag | 0|acc |70.46|± | 0.46| | |
| | | |acc_norm|87.42|± | 0.33| | |
| |openbookqa | 0|acc |38.80|± | 2.18| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |83.03|± | 0.88| | |
| | | |acc_norm|85.15|± | 0.83| | |
| |winogrande | 0|acc |85.00|± | 1.00| | |
| Average: 77.86% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |53.86|± | 1.75| | |
| | | |mc2 |67.46|± | 1.53| | |
| Average: 67.46% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|59.47|± | 3.57| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|64.23|± | 2.50| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|44.96|± | 3.10| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.56|± | 0.39| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.40|± | 2.10| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.57|± | 1.58| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|57.33|± | 2.86| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|52.60|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|52.30|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.00|± | 1.01| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|53.35|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.97|± | 1.49| | |
| |bigbench_snarks | 0|multiple_choice_grade|77.90|± | 3.09| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|74.54|± | 1.39| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|47.40|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.36|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.03|± | 0.94| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|57.33|± | 2.86| | |
| Average: 48.09% | |
| Average score: 59.42% | |
| Elapsed time: 02:27:35| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[OGNO-7B](https://huggingface.co/paulml/OGNO-7B)| 45.07| 77.28| 76.91| 49.12| 62.09| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.56|± | 2.81| | |
| | | |acc_norm|25.59|± | 2.74| | |
| |agieval_logiqa_en | 0|acc |39.78|± | 1.92| | |
| | | |acc_norm|40.09|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |26.52|± | 2.92| | |
| | | |acc_norm|24.35|± | 2.84| | |
| |agieval_lsat_lr | 0|acc |53.92|± | 2.21| | |
| | | |acc_norm|54.31|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|65.80|± | 2.90| | |
| |agieval_sat_en | 0|acc |78.64|± | 2.86| | |
| | | |acc_norm|78.64|± | 2.86| | |
| |agieval_sat_en_without_passage| 0|acc |43.69|± | 3.46| | |
| | | |acc_norm|42.23|± | 3.45| | |
| |agieval_sat_math | 0|acc |32.27|± | 3.16| | |
| | | |acc_norm|29.55|± | 3.08| | |
| Average: 45.07% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |67.24|± | 1.37| | |
| | | |acc_norm|67.66|± | 1.37| | |
| |arc_easy | 0|acc |86.62|± | 0.70| | |
| | | |acc_norm|80.22|± | 0.82| | |
| |boolq | 1|acc |87.58|± | 0.58| | |
| |hellaswag | 0|acc |70.05|± | 0.46| | |
| | | |acc_norm|87.49|± | 0.33| | |
| |openbookqa | 0|acc |40.20|± | 2.19| | |
| | | |acc_norm|50.00|± | 2.24| | |
| |piqa | 0|acc |83.46|± | 0.87| | |
| | | |acc_norm|85.42|± | 0.82| | |
| |winogrande | 0|acc |82.56|± | 1.07| | |
| Average: 77.28% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |61.44|± | 1.70| | |
| | | |mc2 |76.91|± | 1.39| | |
| Average: 76.91% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|60.00|± | 3.56| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|62.06|± | 2.53| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|55.43|± | 3.10| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.20|± | 2.11| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|22.86|± | 1.59| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.00|± | 2.84| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|49.80|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.20|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|69.40|± | 1.03| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|53.57|± | 2.36| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|38.18|± | 1.54| | |
| |bigbench_snarks | 0|multiple_choice_grade|73.48|± | 3.29| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|75.56|± | 1.37| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|51.10|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.88|± | 1.19| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.66|± | 0.95| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.00|± | 2.84| | |
| Average: 49.12% | |
| Average score: 62.09% | |
| Elapsed time: 03:05:18| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[Wernicke-7B-v9](https://huggingface.co/CultriX/Wernicke-7B-v9)| 45.63| 77.59| 72.4| 48.86| 61.12| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |27.95|± | 2.82| | |
| | | |acc_norm|25.98|± | 2.76| | |
| |agieval_logiqa_en | 0|acc |40.25|± | 1.92| | |
| | | |acc_norm|40.40|± | 1.92| | |
| |agieval_lsat_ar | 0|acc |23.91|± | 2.82| | |
| | | |acc_norm|25.65|± | 2.89| | |
| |agieval_lsat_lr | 0|acc |51.57|± | 2.22| | |
| | | |acc_norm|52.55|± | 2.21| | |
| |agieval_lsat_rc | 0|acc |65.80|± | 2.90| | |
| | | |acc_norm|65.80|± | 2.90| | |
| |agieval_sat_en | 0|acc |78.64|± | 2.86| | |
| | | |acc_norm|79.61|± | 2.81| | |
| |agieval_sat_en_without_passage| 0|acc |44.66|± | 3.47| | |
| | | |acc_norm|43.20|± | 3.46| | |
| |agieval_sat_math | 0|acc |33.18|± | 3.18| | |
| | | |acc_norm|31.82|± | 3.15| | |
| Average: 45.63% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |65.61|± | 1.39| | |
| | | |acc_norm|68.00|± | 1.36| | |
| |arc_easy | 0|acc |86.53|± | 0.70| | |
| | | |acc_norm|82.91|± | 0.77| | |
| |boolq | 1|acc |87.98|± | 0.57| | |
| |hellaswag | 0|acc |68.56|± | 0.46| | |
| | | |acc_norm|87.10|± | 0.33| | |
| |openbookqa | 0|acc |38.80|± | 2.18| | |
| | | |acc_norm|49.20|± | 2.24| | |
| |piqa | 0|acc |82.97|± | 0.88| | |
| | | |acc_norm|85.20|± | 0.83| | |
| |winogrande | 0|acc |82.72|± | 1.06| | |
| Average: 77.59% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |56.18|± | 1.74| | |
| | | |mc2 |72.40|± | 1.47| | |
| Average: 72.4% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|59.47|± | 3.57| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|63.96|± | 2.50| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|49.61|± | 3.12| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|23.12|± | 2.23| | |
| | | |exact_str_match | 1.39|± | 0.62| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|32.40|± | 2.10| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.00|± | 1.59| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|56.67|± | 2.87| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|47.80|± | 2.24| | |
| |bigbench_navigate | 0|multiple_choice_grade|56.20|± | 1.57| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.95|± | 1.00| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|55.13|± | 2.35| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|32.46|± | 1.48| | |
| |bigbench_snarks | 0|multiple_choice_grade|77.35|± | 3.12| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|76.06|± | 1.36| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|54.30|± | 1.58| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.28|± | 1.20| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|20.06|± | 0.96| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|56.67|± | 2.87| | |
| Average: 48.86% | |
| Average score: 61.12% | |
| Elapsed time: 01:15:19| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| | |
| |-------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| | |
| |[TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)| 20.77| 54.28| 37.84| 32.4| 36.32| | |
| ### AGIEval | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------|------:|--------|----:|---|-----:| | |
| |agieval_aqua_rat | 0|acc |16.14|± | 2.31| | |
| | | |acc_norm|17.32|± | 2.38| | |
| |agieval_logiqa_en | 0|acc |26.42|± | 1.73| | |
| | | |acc_norm|31.03|± | 1.81| | |
| |agieval_lsat_ar | 0|acc |20.43|± | 2.66| | |
| | | |acc_norm|20.00|± | 2.64| | |
| |agieval_lsat_lr | 0|acc |20.59|± | 1.79| | |
| | | |acc_norm|20.98|± | 1.80| | |
| |agieval_lsat_rc | 0|acc |18.96|± | 2.39| | |
| | | |acc_norm|19.70|± | 2.43| | |
| |agieval_sat_en | 0|acc |24.27|± | 2.99| | |
| | | |acc_norm|16.02|± | 2.56| | |
| |agieval_sat_en_without_passage| 0|acc |19.90|± | 2.79| | |
| | | |acc_norm|17.48|± | 2.65| | |
| |agieval_sat_math | 0|acc |28.18|± | 3.04| | |
| | | |acc_norm|23.64|± | 2.87| | |
| Average: 20.77% | |
| ### GPT4All | |
| | Task |Version| Metric |Value| |Stderr| | |
| |-------------|------:|--------|----:|---|-----:| | |
| |arc_challenge| 0|acc |29.95|± | 1.34| | |
| | | |acc_norm|32.94|± | 1.37| | |
| |arc_easy | 0|acc |61.32|± | 1.00| | |
| | | |acc_norm|54.34|± | 1.02| | |
| |boolq | 1|acc |60.92|± | 0.85| | |
| |hellaswag | 0|acc |46.56|± | 0.50| | |
| | | |acc_norm|60.41|± | 0.49| | |
| |openbookqa | 0|acc |25.40|± | 1.95| | |
| | | |acc_norm|37.20|± | 2.16| | |
| |piqa | 0|acc |74.43|± | 1.02| | |
| | | |acc_norm|74.37|± | 1.02| | |
| |winogrande | 0|acc |59.83|± | 1.38| | |
| Average: 54.28% | |
| ### TruthfulQA | |
| | Task |Version|Metric|Value| |Stderr| | |
| |-------------|------:|------|----:|---|-----:| | |
| |truthfulqa_mc| 1|mc1 |23.01|± | 1.47| | |
| | | |mc2 |37.84|± | 1.40| | |
| Average: 37.84% | |
| ### Bigbench | |
| | Task |Version| Metric |Value| |Stderr| | |
| |------------------------------------------------|------:|---------------------|----:|---|-----:| | |
| |bigbench_causal_judgement | 0|multiple_choice_grade|47.89|± | 3.63| | |
| |bigbench_date_understanding | 0|multiple_choice_grade|48.78|± | 2.61| | |
| |bigbench_disambiguation_qa | 0|multiple_choice_grade|32.95|± | 2.93| | |
| |bigbench_geometric_shapes | 0|multiple_choice_grade|10.03|± | 1.59| | |
| | | |exact_str_match | 0.00|± | 0.00| | |
| |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|20.80|± | 1.82| | |
| |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|14.86|± | 1.35| | |
| |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|35.33|± | 2.76| | |
| |bigbench_movie_recommendation | 0|multiple_choice_grade|34.00|± | 2.12| | |
| |bigbench_navigate | 0|multiple_choice_grade|50.70|± | 1.58| | |
| |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|34.15|± | 1.06| | |
| |bigbench_ruin_names | 0|multiple_choice_grade|31.92|± | 2.20| | |
| |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|24.95|± | 1.37| | |
| |bigbench_snarks | 0|multiple_choice_grade|51.38|± | 3.73| | |
| |bigbench_sports_understanding | 0|multiple_choice_grade|49.59|± | 1.59| | |
| |bigbench_temporal_sequences | 0|multiple_choice_grade|29.40|± | 1.44| | |
| |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|18.16|± | 1.09| | |
| |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|13.03|± | 0.80| | |
| |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|35.33|± | 2.76| | |
| Average: 32.4% | |
| Average score: 36.32% | |
| Elapsed time: 01:03:07 |
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