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banghua
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yi-34b-rm-900
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PyTorch
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96e0485
yi-34b-rm-900
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pytorch_model.bin00
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pytorch_model.bin01
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pytorch_model.bin03
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rng_state_0.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
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rng_state_1.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
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21.7 kB
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
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21.7 kB
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
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rng_state_4.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
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rng_state_5.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
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rng_state_6.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
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21.7 kB
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rng_state_7.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
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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"
,
"accelerate.utils.dataclasses.DistributedType"
,
"transformers.training_args.OptimizerNames"
,
"transformers.trainer_utils.IntervalStrategy"
,
"accelerate.utils.dataclasses.DeepSpeedPlugin"
,
"transformers.training_args.TrainingArguments"
,
"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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