vicuna-13b-v1.3 padding token maybe wrong ?
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Description
load model https://huggingface.co/lmsys/vicuna-13b-v1.3
pad_token ==
__________________________________________
token class ,tokens vocab :32000
LlamaTokenizerFast(name_or_path='/models/vicuna-13b-v1.3', vocab_size=32000, model_max_length=2048, is_fast=True, padding_side='right', truncation_side='right', special_tokens={'bos_token': AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=True), 'eos_token': AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=True), 'unk_token': AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=True), 'pad_token': ''}, clean_up_tokenization_spaces=False)
tokenizer.bos_token='' ,bos_token_id=1
tokenizer.eos_token='' ,eos_token_id=2
tokenizer.pad_token='' ,pad_token_id=0
tokenizer.unk_token='' ,unk_token_id=0
tokenizer.all_special_tokens=['', '', '', '']
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the Vicuna 13B v1.3 model on Hugging Face and inspect its LlamaTokenizerFast configuration, focusing on the reported pad_token and pad_token_id values. Compare the padding configuration with the model's bos, eos, and unk tokens, then verify whether the reported padding assignment is expected or needs correction.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100