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| base_model: openlm-research/open_llama_3b_v2 | |
| base_model_config: openlm-research/open_llama_3b_v2 | |
| model_type: LlamaForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| strict: false | |
| push_dataset_to_hub: | |
| datasets: | |
| - path: data1.json |
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| from human_eval.data import write_jsonl, read_problems | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| import torch | |
| problems = read_problems() | |
| tokenizer = AutoTokenizer.from_pretrained("mistralai/Mixtral-8x7B-v0.1", trust_remote_code=True) | |
| model = AutoModelForCausalLM.from_pretrained( | |
| "merged_thing", | |
| torch_dtype=torch.bfloat16, |
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