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LangAGI-Lab
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Meta-Llama-3.1-8B-Instruct-WM-description-with-tao
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Meta-Llama-3.1-8B-Instruct-WM-description-with-tao
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pytorch_model_fsdp.bin
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rng_state_0.pth
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Detected Pickle imports (7)
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
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"_codecs.encode"
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rng_state_1.pth
pickle
Detected Pickle imports (7)
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
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16 kB
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rng_state_4.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
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16 kB
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rng_state_5.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"collections.OrderedDict"
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rng_state_6.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"collections.OrderedDict"
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rng_state_7.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"collections.OrderedDict"
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scheduler.pt
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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trainer_state.json
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