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clinicalnlplab
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finetuned-PMCLLaMA-13b-LitCovid
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Safetensors
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finetuned-PMCLLaMA-13b-LitCovid
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5 commits
jiminHuang
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global_step12000
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.gitattributes
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README.md
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adapter_config.json
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adapter_model.safetensors
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config.json
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generation_config.json
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latest
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model-00001-of-00006.safetensors
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model-00002-of-00006.safetensors
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model-00004-of-00006.safetensors
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model-00005-of-00006.safetensors
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model-00006-of-00006.safetensors
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model.safetensors.index.json
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rng_state_0.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"_codecs.encode"
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rng_state_1.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"_codecs.encode"
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"_codecs.encode"
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"_codecs.encode"
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rng_state_4.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"_codecs.encode"
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rng_state_5.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"_codecs.encode"
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special_tokens_map.json
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tokenizer.model
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tokenizer_config.json
935 Bytes
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trainer_state.json
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training_args.bin
pickle
Detected Pickle imports (12)
"transformers.trainer_utils.HubStrategy"
,
"torch.device"
,
"transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig"
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"accelerate.utils.dataclasses.DistributedType"
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"transformers.training_args.OptimizerNames"
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"transformers.trainer_utils.IntervalStrategy"
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"accelerate.utils.dataclasses.DeepSpeedPlugin"
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"__main__.TrainingArguments"
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"transformers.trainer_utils.SchedulerType"
,
"transformers.integrations.deepspeed.HfDeepSpeedConfig"
,
"accelerate.state.PartialState"
,
"torch.bfloat16"
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zero_to_fp32.py
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