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seablue
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zephyr_hinge_ao01s1_e1
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Text Generation
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mistral
conversational
text-generation-inference
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9b20e2a
zephyr_hinge_ao01s1_e1
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15 commits
seablue
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.gitattributes
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initial commit
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config.json
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generation_config.json
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latest
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model.safetensors.index.json
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rng_state_0.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"_codecs.encode"
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16 kB
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rng_state_1.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
16 kB
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rng_state_12.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
How to fix it?
16 kB
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rng_state_15.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
How to fix it?
16 kB
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5 months ago
rng_state_26.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
How to fix it?
16 kB
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5 months ago
rng_state_6.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"_codecs.encode"
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16 kB
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tokenizer.json
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trainer_state.json
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training_args.bin
pickle
Detected Pickle imports (13)
"transformers.training_args.OptimizerNames"
,
"accelerate.utils.dataclasses.DistributedType"
,
"transformers.trainer_utils.HubStrategy"
,
"accelerate.utils.dataclasses.DeepSpeedPlugin"
,
"alignment.configs.SPINConfig"
,
"torch.device"
,
"transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig"
,
"transformers.trainer_utils.IntervalStrategy"
,
"transformers.trainer_pt_utils.AcceleratorConfig"
,
"transformers.integrations.deepspeed.HfDeepSpeedConfig"
,
"accelerate.state.PartialState"
,
"torch.float16"
,
"transformers.trainer_utils.SchedulerType"
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zero_to_fp32.py
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