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esunn
/
1min-scriptgen-luxia-8b
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Text Generation
Transformers
PyTorch
Safetensors
llama
Generated from Trainer
conversational
text-generation-inference
License:
llama3
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1min-scriptgen-luxia-8b
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checkpoint-40
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esunn
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config.json
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generation_config.json
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latest
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model-00001-of-00004.safetensors
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rng_state_0.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
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rng_state_1.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
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rng_state_2.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
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rng_state_3.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
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rng_state_4.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
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rng_state_5.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
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rng_state_6.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"collections.OrderedDict"
,
"numpy.dtype"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.ndarray"
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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 (12)
"transformers.trainer_utils.HubStrategy"
,
"axolotl.core.trainer_builder.AxolotlTrainingArguments"
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"transformers.training_args.OptimizerNames"
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"transformers.trainer_utils.IntervalStrategy"
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"torch.device"
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"accelerate.utils.dataclasses.DistributedType"
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"transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig"
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"torch.bfloat16"
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"transformers.trainer_pt_utils.AcceleratorConfig"
,
"transformers.trainer_utils.SchedulerType"
,
"accelerate.state.PartialState"
,
"accelerate.utils.dataclasses.DeepSpeedPlugin"
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zero_to_fp32.py
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