LangAGI-Lab

/

Meta-Llama-3.1-8B-Instruct-SR-test-adapter

like 0

Follow

Language & AGI Lab 26

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

• "torch.device",
• "transformers.trainer_utils.IntervalStrategy",
• "transformers.trainer_utils.HubStrategy",
• "transformers.trainer_pt_utils.AcceleratorConfig",
• "accelerate.state.PartialState",
• "accelerate.utils.dataclasses.DistributedType",
• "transformers.training_args.OptimizerNames",
• "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
• "transformers.trainer_utils.SchedulerType"

How to fix it?