gistfile1.txt

/home/xiowei/miniconda3/envs/vllm/lib/python3.10/site-packages/jax/_src/cloud_tpu_init.py:84: UserWarning: Transparent hugepages are not enabled. TPU runtime startup and shutdown time should be significantly improved on TPU v5e and newer. If not already set, you may need to enable transparent hugepages in your VM image (sudo sh -c "echo always > /sys/kernel/mm/transparent_hugepage/enabled")
  warnings.warn(
INFO 07-17 20:38:09 [__init__.py:244] Automatically detected platform tpu.
/mnt/disks/persist/vllm/vllm/platforms/tpu.py:202: UserWarning: 🚨  CAUTION: You are using 'tpu_commons' , which is experimental and NOT intended for production use yet. Please see the README for more details.
  from tpu_commons.platforms import TpuPlatform as TpuCommonsPlatform
Running uLLM without Pathways. Module pathwaysutils is not imported.
INFO 07-17 20:38:23 [config.py:1467] Using max model len 1024
INFO 07-17 20:38:23 [config.py:2267] Chunked prefill is enabled with max_num_batched_tokens=8192.
INFO 07-17 20:38:23 [tpu_jax.py:112] [TPU] Forcing DYNAMO_ONCE compilation level
WARNING 07-17 20:38:23 [tpu_jax.py:123] The model dtype is not properly set for JAX backend. Overwriting it to jnp.bfloat16
WARNING:root:libtpu.so and TPU device found. Setting PJRT_DEVICE=TPU.
WARNING 07-17 20:38:25 [tpu_jax.py:161] JAX requires to use uniproc_executor for single host.
INFO 07-17 20:38:25 [core.py:459] Waiting for init message from front-end.
INFO 07-17 20:38:25 [tpu_jax.py:112] [TPU] Forcing DYNAMO_ONCE compilation level
WARNING 07-17 20:38:25 [tpu_jax.py:123] The model dtype is not properly set for JAX backend. Overwriting it to jnp.bfloat16
INFO 07-17 20:38:25 [core.py:69] Initializing a V1 LLM engine (v0.9.1.dev839+g3c545c0c3.d20250715) with config: model='meta-llama/Llama-3.1-8B', speculative_config=None, tokenizer='meta-llama/Llama-3.1-8B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config={}, tokenizer_revision=None, trust_remote_code=False, dtype=<class 'jax.numpy.bfloat16'>, max_seq_len=1024, download_dir=None, load_format=auto, tensor_parallel_size=4, pipeline_parallel_size=1, disable_custom_all_reduce=True, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=None, decoding_config=DecodingConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_backend=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.1-8B, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=False, pooler_config=None, compilation_config={"level":2,"debug_dump_path":"","cache_dir":"","backend":"openxla","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"max_capture_size":512,"local_cache_dir":null}
xw32 JAX TPUWorker.__init__
WARNING 07-17 20:38:44 [utils.py:2753] Methods add_lora,cache_config,determine_num_available_blocks,device_config,get_cache_block_size_bytes,list_loras,load_config,pin_lora,remove_lora,scheduler_config,speculative_config not implemented in <tpu_commons.worker.tpu_worker_jax.TPUWorker object at 0x7a42e7d1da80>
xw32 JAX TPUWorker.init_device
WARNING 07-17 20:38:44 [tpu_worker_jax.py:73] Init devices | devices=[TpuDevice(id=0, process_index=0, coords=(0,0,0), core_on_chip=0), TpuDevice(id=1, process_index=0, coords=(1,0,0), core_on_chip=0), TpuDevice(id=2, process_index=0, coords=(0,1,0), core_on_chip=0), TpuDevice(id=3, process_index=0, coords=(1,1,0), core_on_chip=0)] | hbm=[(0.0, 31.25), (0.0, 31.25), (0.0, 31.25), (0.0, 31.25)]Gb
xw32 JAX TPUModelRunner.__init__
WARNING 07-17 20:38:44 [tpu_jax_runner.py:126] Init mesh | mesh=Mesh('data': 1, 'model': 4, axis_types=(Auto, Auto))
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1475] Using exponential token paddings:
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     16
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     32
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     64
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     128
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     256
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     512
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     1024
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     2048
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     4096
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1477]     8192
/mnt/disks/persist/tpu_commons/tpu_commons/runner/jax/block_table_jax.py:39: UserWarning: Explicitly requested dtype <class 'jax.numpy.int64'> requested in zeros is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/jax-ml/jax#current-gotchas for more.
  self.slot_mapping = jnp.zeros(self.max_num_batched_tokens,
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1441] Preparing request paddings:
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1448]     8
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1448]     16
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1448]     32
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1448]     64
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1448]     128
INFO 07-17 20:38:44 [tpu_torch_xla_runner.py:1448]     256
INFO 07-17 20:38:44 [tpu_jax_runner.py:85] TPUModelRunner created!
xw32 JAX TPUWorker.load_model
xw32 JAX TPUModelRunner.load_model
INFO 07-17 20:38:44 [model_loader.py:173] Loading model, implementation type=vllm
/home/xiowei/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:351: UserWarning: Device capability of jax unspecified, assuming `cpu` and `cuda`. Please specify it via the `devices` argument of `register_backend`.
  warnings.warn(
INFO 07-17 20:38:44 [importing.py:43] Triton is installed but 0 active driver(s) found (expected 1). Disabling Triton to prevent runtime errors.
INFO 07-17 20:38:44 [importing.py:63] Triton not installed or not compatible; certain GPU-related functions will not be available.
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
xw32 VllmModelWrapper.__init__
xw32 VllmModelWrapper.load_weights
INFO 07-17 20:38:44 [parallel_state.py:1076] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
xw32 vllm LlamaForCausalLM.__init__
INFO 07-17 20:38:44 [tpu_jax.py:55] Cannot use None backend on TPU.
INFO 07-17 20:38:44 [tpu_jax.py:58] Using Pallas V1 backend.
INFO 07-17 20:38:45 [weight_utils.py:292] Using model weights format ['*.safetensors']

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INFO 07-17 20:38:46 [default_loader.py:272] Loading weights took 1.08 seconds
xw32 _VllmRunner.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
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xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
xw32 JaxQKVParallelLinear.__init__
xw32 JaxAttention.__init__
INFO 07-17 20:38:56 [tpu_jax_runner.py:193] Init model | hbm=[(6.21, 31.25), (6.21, 31.25), (6.21, 31.25), (6.21, 31.25)]Gb
xw32 JAX TPUWorker.get_kv_cache_spec
xw32 JAX TPUModelRunner.get_kv_cache_spec
xw32 JAX TPUWorker.determine_available_memory
INFO 07-17 20:38:56 [kv_cache_utils.py:716] GPU KV cache size: 738,368 tokens
INFO 07-17 20:38:56 [kv_cache_utils.py:720] Maximum concurrency for 1,024 tokens per request: 721.06x
xw32 JAX TPUWorker.initialize_from_config
xw32 JAX TPUModelRunner.initialize_kv_cache
INFO 07-17 20:38:56 [tpu_jax_runner.py:256] PJRT C API
INFO 07-17 20:38:56 [tpu_jax_runner.py:256] TFRT TPU v6 lite
INFO 07-17 20:38:56 [tpu_jax_runner.py:256] Built on Jun 11 2025 03:26:53 (1749637613) cl/770014068
INFO 07-17 20:38:56 [tpu_jax_runner.py:257] Init kv-cache | shape=32 * (11537, 64, 16, 128) | sharding=NamedSharding(mesh=Mesh('data': 1, 'model': 4, axis_types=(Auto, Auto)), spec=PartitionSpec(None, None, 'model'), memory_kind=device) | hbm=[(28.74, 31.25), (28.74, 31.25), (28.74, 31.25), (28.74, 31.25)]Gb
xw32 JAX TPUWorker.compile_or_warm_up_model
xw32 JAX TPUModelRunner.capture_model
INFO 07-17 20:38:56 [core.py:172] init engine (profile, create kv cache, warmup model) took 0.05 seconds
WARNING 07-17 20:38:57 [config.py:1394] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`.

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Processed prompts:   0%|          | 0/35 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]/home/xiowei/miniconda3/envs/vllm/lib/python3.10/site-packages/jax/_src/numpy/array_methods.py:122: UserWarning: Explicitly requested dtype int64 requested in astype is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/jax-ml/jax#current-gotchas for more.
  return lax_numpy.astype(self, dtype, copy=copy, device=device)

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xw32 JAX TPUWorker.execute_model
xw32 JAX TPUModelRunner.execute_model
xw32 VllmModelWrapper.jit_step_func.step_fun
xw32 set_vllm_model_wrapper_context
xw32 _VllmRunner.compute_hidden_state
xw32 get_vllm_model_wrapper_context
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xw32 VllmModelWrapper.jit_compute_logits_func.compute_logits_func
xw32 _VllmRunner.compute_logits
xw32 JAX TPUWorker.execute_model
xw32 JAX TPUModelRunner.execute_model
xw32 VllmModelWrapper.jit_step_func.step_fun
xw32 set_vllm_model_wrapper_context
xw32 _VllmRunner.compute_hidden_state
xw32 get_vllm_model_wrapper_context
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xw32 VllmModelWrapper.jit_compute_logits_func.compute_logits_func
xw32 _VllmRunner.compute_logits
xw32 JAX TPUWorker.execute_model
xw32 JAX TPUModelRunner.execute_model
xw32 VllmModelWrapper.jit_step_func.step_fun
xw32 set_vllm_model_wrapper_context
xw32 _VllmRunner.compute_hidden_state
xw32 get_vllm_model_wrapper_context
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WARNING 07-17 20:39:35 [tpu_jax_runner.py:592] Nothing scheduled: SchedulerOutput(scheduled_new_reqs=[], scheduled_cached_reqs=[], num_scheduled_tokens={}, total_num_scheduled_tokens=0, scheduled_spec_decode_tokens={}, scheduled_encoder_inputs={}, num_common_prefix_blocks=[0], finished_req_ids={'33', '6', '3', '22', '29', '12', '27', '34', '23', '28', '31', '4', '7', '9', '5', '18', '14', '25', '2', '16', '15', '21', '32', '8', '26', '30', '17', '24', '20', '1', '11', '19', '10', '13'}, free_encoder_input_ids=[], structured_output_request_ids={}, grammar_bitmask=None, kv_connector_metadata=None)!

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Prompt: 'Hello, my name is'
Generated text: ' Kaitlyn and I am a 20 year old college student. I am'
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Prompt: 'The capital of France is'
Generated text: ' a city of many faces. It is a city of history, culture, and'
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Prompt: 'The colors of the rainbow are'
Generated text: ' red, orange, yellow, green, blue, indigo, and violet.'
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Prompt: 'The future of AI is'
Generated text: ' here, and it’s already changing the way we live and work. From self'
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Prompt: 'The president of the United States is'
Generated text: ' the head of state and head of government of the United States, indirectly elected to'
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Prompt: 'How many players are on a standard soccer team on the field at one time?'
Generated text: ' A. 11 B. 12 C. 13 D. 14'
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Prompt: 'In Greek mythology, who is the god of the sea?'
Generated text: ' Poseidon\nIn Greek mythology, who is the god of the sea?\nPose'
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Prompt: 'In what year did the Titanic sink?'
Generated text: ' What was the name of the ship that sank in the Bermuda Triangle? What was'
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Prompt: 'In which museum is the Mona Lisa displayed?'
Generated text: ' The Louvre Museum in Paris, France. The Mona Lisa is one of the'
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Prompt: 'Mount Everest is located in which mountain range?'
Generated text: ' A. the Himalayas B. the Andes C. the Alps D.'
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Prompt: 'What ancient empire was ruled by Julius Caesar?'
Generated text: ' What ancient empire was ruled by Julius Caesar?\nJulius Caesar was a Roman general'
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Prompt: 'What are the four fundamental forces of nature?'
Generated text: ' What is the difference between a force and a field? What is the difference between'
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Prompt: 'What does "CPU" stand for?'
Generated text: ' What is the difference between "CPU" and "processor"?\nThe term "'
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Prompt: 'What does "HTML" stand for?'
Generated text: ' What does "CSS" stand for? What does "JavaScript" stand for?'
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Prompt: 'What is the capital of Australia?'
Generated text: ' What is the capital of Australia?\nWhat is the capital of Australia?\nThe capital'
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Prompt: 'What is the chemical symbol for gold?'
Generated text: ' A. Au B. Ag C. Cu D. Pb\nThe chemical symbol'
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Prompt: 'What is the currency of Switzerland?'
Generated text: ' The Swiss franc (CHF) is the official currency of Switzerland. The Swiss'
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Prompt: 'What is the distance from the Earth to the Sun called?'
Generated text: ' A. the moon\nB. the solar system\nC. the orbit\n'
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Prompt: 'What is the freezing point of water in Celsius?'
Generated text: ' The freezing point of water is 0 degrees Celsius. The freezing point of water'
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Prompt: 'What is the hardest known natural substance on Earth?'
Generated text: ' Diamond, of course. But what is the hardest known man-made substance? That'
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Prompt: 'What is the largest planet in our solar system?'
Generated text: ' Jupiter. What is the smallest planet in our solar system? Mercury. What is'
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Prompt: 'What is the longest river in the world?'
Generated text: ' The Nile River is the longest river in the world. It is 4,'
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Prompt: 'What is the main function of the kidneys in the human body?'
Generated text: ' A. to produce urine B. to produce blood C. to produce sweat D'
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Prompt: 'What is the main ingredient in guacamole?'
Generated text: ' Avocados, of course! But what about the other ingredients? What are'
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Prompt: 'What is the most spoken language in the world by number of native speakers?'
Generated text: ' The answer is Mandarin Chinese, which is spoken by over 1 billion people.'
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Prompt: 'What is the process by which plants use sunlight to create food?'
Generated text: ' A. photosynthesis\nB. respiration\nC. digestion\nD.'
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Prompt: 'Which country is known as the Land of the Rising Sun?'
Generated text: ' Japan\nWhich country is known as the Land of the Rising Sun?\nA.'
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Prompt: 'Who developed the theory of general relativity?'
Generated text: ' Albert Einstein\nWhat is the theory of general relativity? The theory of general'
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Prompt: 'Who directed the original "Star Wars" trilogy?'
Generated text: ' George Lucas.\nWho directed the original "Star Wars" trilogy? George Lucas.'
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Prompt: 'Who is credited with inventing the telephone?'
Generated text: ' Alexander Graham Bell\nWhat is the name of the first telephone? The telephone was'
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Prompt: 'Who painted the ceiling of the Sistine Chapel?'
Generated text: ' Michelangelo. What is the name of the painting on the ceiling of the S'
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Prompt: 'Who was the first female Prime Minister of the United Kingdom?'
Generated text: ' Margaret Thatcher\nWho was the first female Prime Minister of the United Kingdom?\nMarg'
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Prompt: 'Who was the first person to walk on the moon?'
Generated text: ' What is the largest planet in our solar system? What is the name of the'
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Prompt: 'Who wrote the American Declaration of Independence?'
Generated text: ' Who wrote the American Declaration of Independence?\nWho wrote the American Declaration of Independence?\n'
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Prompt: 'Who wrote the novel "Pride and Prejudice"?'
Generated text: ' Jane Austen\nWhat is the name of the main character in "Pride'
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