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cfli
/
minicpm_mixture
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PEFT
Safetensors
arxiv:
1910.09700
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minicpm_mixture
/
checkpoint-2000
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README.md
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adapter_config.json
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adapter_model.safetensors
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latest
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rng_state_0.pth
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Detected Pickle imports (7)
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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rng_state_1.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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rng_state_4.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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rng_state_5.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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rng_state_6.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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15.9 kB
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rng_state_7.pth
pickle
Detected Pickle imports (7)
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
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trainer_state.json
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training_args.bin
pickle
Detected Pickle imports (12)
"accelerate.utils.dataclasses.DistributedType"
,
"transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig"
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"torch.bfloat16"
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"transformers.trainer_utils.SchedulerType"
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"transformers.trainer_pt_utils.AcceleratorConfig"
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"accelerate.state.PartialState"
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"arguments.RetrieverTrainingArguments"
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"transformers.training_args.OptimizerNames"
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"accelerate.utils.dataclasses.DeepSpeedPlugin"
,
"transformers.trainer_utils.IntervalStrategy"
,
"torch.device"
,
"transformers.trainer_utils.HubStrategy"
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zero_to_fp32.py
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