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radna
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r1-14B-FSFT-768
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Safetensors
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r1-14B-FSFT-768
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args.json
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config.json
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rng_state_0.pth
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Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
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rng_state_1.pth
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Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
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rng_state_3.pth
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Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
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rng_state_4.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
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rng_state_5.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
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rng_state_6.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
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rng_state_7.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
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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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training_args.bin
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Detected Pickle imports (14)
"transformers.integrations.deepspeed.HfDeepSpeedConfig"
,
"accelerate.utils.dataclasses.DeepSpeedPlugin"
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"transformers.trainer_pt_utils.AcceleratorConfig"
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"transformers.training_args.OptimizerNames"
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"transformers.trainer_utils.SchedulerType"
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"swift.trainers.arguments.Seq2SeqTrainingArguments"
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"transformers.trainer_utils.IntervalStrategy"
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"torch.bfloat16"
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"torch.device"
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"accelerate.state.PartialState"
,
"transformers.trainer_utils.HubStrategy"
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"transformers.trainer_utils.SaveStrategy"
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zero_to_fp32.py
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