python llama_inference.py ./llama-7b-hf --wbits 4 --load ./llama-7b-4bit.pt --text "this is llama"
Loading model ...
Done.
Traceback (most recent call last):
File "/root/GPTQ-for-LLaMa/llama_inference.py", line 114, in
tokenizer = AutoTokenizer.from_pretrained(args.model)
File "/opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 679, in from_pretrained
return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1804, in from_pretrained
return cls._from_pretrained(
File "/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1958, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File "/opt/conda/lib/python3.10/site-packages/transformers/models/llama/tokenization_llama.py", line 72, in init
self.sp_model.Load(vocab_file)
File "/opt/conda/lib/python3.10/site-packages/sentencepiece/init.py", line 905, in Load
return self.LoadFromFile(model_file)
File "/opt/conda/lib/python3.10/site-packages/sentencepiece/init.py", line 310, in LoadFromFile
return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg)
RuntimeError: Internal: src/sentencepiece_processor.cc(1101) [model_proto->ParseFromArray(serialized.data(), serialized.size())]