voidful

/

smol-360m-ft

like 0

• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "collections.OrderedDict",
• "numpy.dtype"

How to fix it?

• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "collections.OrderedDict",
• "numpy.dtype"

How to fix it?

• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "collections.OrderedDict",
• "numpy.dtype"

How to fix it?

• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "collections.OrderedDict",
• "numpy.dtype"

How to fix it?

• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "collections.OrderedDict",
• "numpy.dtype"

How to fix it?

• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "collections.OrderedDict",
• "numpy.dtype"

How to fix it?

• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "collections.OrderedDict",
• "numpy.dtype"

How to fix it?

• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "collections.OrderedDict",
• "numpy.dtype"

How to fix it?

• "torch.device",
• "transformers.trainer_utils.IntervalStrategy",
• "transformers.trainer_utils.HubStrategy",
• "trl.trainer.sft_config.SFTConfig",
• "transformers.trainer_pt_utils.AcceleratorConfig",
• "accelerate.state.PartialState",
• "accelerate.utils.dataclasses.DistributedType",
• "transformers.training_args.OptimizerNames",
• "transformers.trainer_utils.SchedulerType"

How to fix it?