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chenpyyy
/
LLaVA-VLA
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Safetensors
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mit
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LLaVA-VLA
/
llava-v1.5-7b-calvin-rel-obs-reduce5-v1-abc2d_2epoch
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rng_state_0.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"torch._utils._rebuild_tensor_v2"
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"numpy.dtype"
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rng_state_1.pth
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Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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rng_state_2.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"numpy.ndarray"
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rng_state_3.pth
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Detected Pickle imports (7)
"torch.ByteStorage"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.ndarray"
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rng_state_4.pth
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Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"numpy.ndarray"
,
"torch.ByteStorage"
,
"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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rng_state_5.pth
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Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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rng_state_6.pth
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Detected Pickle imports (7)
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"torch._utils._rebuild_tensor_v2"
,
"collections.OrderedDict"
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rng_state_7.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
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scheduler.pt
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trainer_state.json
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training_args.bin
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pickle
Detected Pickle imports (12)
"accelerate.utils.dataclasses.DeepSpeedPlugin"
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"transformers.trainer_utils.IntervalStrategy"
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"__main__.TrainingArguments"
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"torch.bfloat16"
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"torch.device"
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"transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig"
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"transformers.trainer_utils.HubStrategy"
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"accelerate.utils.dataclasses.DistributedType"
,
"transformers.trainer_utils.SchedulerType"
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zero_to_fp32.py
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