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I have tried to train llama2-7b-chat-hf, and I got 6 safetensors. But when I tried to load them using AutoModelForCausalLM.from_pretrained, something went wrong:
RuntimeError: Error(s) in loading state_dict for LlamaForCausalLM:
size mismatch for model.embed_tokens.weight: copying a param with shape torch.Size([65537024]) from checkpoint, the shape in current model is torch.Size([32000, 4096]).
size mismatch for model.norm.weight: copying a param with shape torch.Size([0]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for lm_head.weight: copying a param with shape torch.Size([0]) from checkpoint, the shape in current model is torch.Size([32000, 4096]).
You may consider adding `ignore_mismatched_sizes=True` in the model `from_pretrained` method.
The text was updated successfully, but these errors were encountered:
I have tried to train llama2-7b-chat-hf, and I got 6 safetensors. But when I tried to load them using
AutoModelForCausalLM.from_pretrained
, something went wrong:The text was updated successfully, but these errors were encountered: