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support bpe tokenizer in convert - #2228
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July 15, 2023 14:12
Signed-off-by: ldwang <ftgreat@gmail.com>
Signed-off-by: ldwang <ftgreat@gmail.com>
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Can you provide test instruction so that I can verify the change? |
Signed-off-by: ldwang <ftgreat@gmail.com>
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instruction: requirements: |
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Note: Using an llama model with gpt2 tokenizer will be fully supported in the new ggml file format. ggml-org/ggml#302 |
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Could you please give me the support schedule? |
ggerganov
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Jul 25, 2023
This was referenced Jul 27, 2023
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Apr 26, 2026
* support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert, fix Signed-off-by: ldwang <ftgreat@gmail.com> --------- Signed-off-by: ldwang <ftgreat@gmail.com> Co-authored-by: ldwang <ftgreat@gmail.com>
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Apr 28, 2026
* support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert, fix Signed-off-by: ldwang <ftgreat@gmail.com> --------- Signed-off-by: ldwang <ftgreat@gmail.com> Co-authored-by: ldwang <ftgreat@gmail.com>
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* support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert, fix Signed-off-by: ldwang <ftgreat@gmail.com> --------- Signed-off-by: ldwang <ftgreat@gmail.com> Co-authored-by: ldwang <ftgreat@gmail.com>
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* support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert, fix Signed-off-by: ldwang <ftgreat@gmail.com> --------- Signed-off-by: ldwang <ftgreat@gmail.com> Co-authored-by: ldwang <ftgreat@gmail.com>
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Jun 2, 2026
* support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert Signed-off-by: ldwang <ftgreat@gmail.com> * support bpe tokenizer in convert, fix Signed-off-by: ldwang <ftgreat@gmail.com> --------- Signed-off-by: ldwang <ftgreat@gmail.com> Co-authored-by: ldwang <ftgreat@gmail.com>
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Our released Aquila models used bpe tokenizer, so in convert.py we just add one branch for preprocessing bpe tokenizer vocab into sentencepiece in order to use following modules like inference or int4. we have make sure all encoding ids are all the same and have no impact other modules.
Could you please review this pr, thanks.
Related issue: #2093