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rasbt avatar rasbt commented on May 28, 2024

Hi there,
thanks for reporting this. If the Hub does not provide a tokenizer.model file, it should use the tokenizers library instead:

if (vocabulary_path := checkpoint_dir / "tokenizer.model").is_file():
from sentencepiece import SentencePieceProcessor
self.processor = SentencePieceProcessor(model_file=str(vocabulary_path))
self.backend = "sentencepiece"
self.bos_id = self.processor.bos_id()
self.eos_id = self.processor.eos_id()
elif (vocabulary_path := checkpoint_dir / "tokenizer.json").is_file():
from tokenizers import Tokenizer as HFTokenizer
self.processor = HFTokenizer.from_file(str(vocabulary_path))
self.backend = "huggingface"

In the case of Llama 3, only the tokenizer.json is provided, so it should not use sentencepiece:

Screenshot 2024-04-22 at 10 47 40 AM

I was trying this in a fresh environment

git clone https://github.com/Lightning-AI/litgpt.git   
cd litgpt

pip install -e ".[all]"
litgpt download --repo_id meta-llama/Meta-Llama-3-8B-Instruct --access_token ...

pip uninstall sentencepiece 
litgpt chat --checkpoint_dir checkpoints/meta-llama/Meta-Llama-3-8B-Instruct 

and it worked without problem.

Screenshot 2024-04-22 at 10 45 29 AM

I was using tokenizers version '0.19.1', perhaps you have an older version installed? Could you try to upgrade it via
pip install tokenizers -U and give it another try?

from litgpt.

rasbt avatar rasbt commented on May 28, 2024

Let us know if you still have problems here, happy to reopen and revisit!

from litgpt.

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