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[Bugfix] fix qwen tokenizer config when converting to nemo format #11098
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@cuichenx can you review this PR please? |
beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base. Your code was analyzed with PyLint. The following annotations have been identified:
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LGTM! thanks for the fix
What does this PR do ?
This PR fixes qwen tokenizer config when converting qwen2 from HF to nemo format;
Background: when running Qwen SFT, _build_tokenizer() will return Qwen2Tokenizer or Qwen2TokenizerFast based on cfg.tokenizer .
without this update, _build_tokenizer will use
use_fast
default value (False
) and create an Qwen2Tokenizer instance (wrapped by NeMo/nemo/collections/common/tokenizers/huggingface/auto_tokenizer.py). Qwen2Tokenizer instance don't have vocab attributes, which results in errors during SFT data loading.Above changes is tested within
nvcr.io/nvidia/nemo:24.07
; passed.Collection: LLM, Qwen2
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