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| author | ldwang <ftgreat@163.com> | 2023-08-02 16:21:11 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-08-02 11:21:11 +0300 |
| commit | 220d9318647a8ce127dbf7c9de5400455f41e7d8 (patch) | |
| tree | 8ce7241d135bf79a0f155f695e5ffe829a51c467 | |
| parent | 81844fbcfd93a162b7aeaea9e4f2ab1358f7f97e (diff) | |
readme : add Aquila-7B model series to supported models (#2487)
* 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>
* Add Aquila-7B models in README.md
Signed-off-by: ldwang <ftgreat@gmail.com>
* Up Aquila-7B models in README.md
Signed-off-by: ldwang <ftgreat@gmail.com>
---------
Signed-off-by: ldwang <ftgreat@gmail.com>
Co-authored-by: ldwang <ftgreat@gmail.com>
| -rw-r--r-- | README.md | 7 |
1 files changed, 7 insertions, 0 deletions
@@ -88,6 +88,7 @@ as the main playground for developing new features for the [ggml](https://github - [X] [Pygmalion 7B / Metharme 7B](#using-pygmalion-7b--metharme-7b) - [X] [WizardLM](https://github.com/nlpxucan/WizardLM) - [X] [Baichuan-7B](https://huggingface.co/baichuan-inc/baichuan-7B) and its derivations (such as [baichuan-7b-sft](https://huggingface.co/hiyouga/baichuan-7b-sft)) +- [X] [Aquila-7B](https://huggingface.co/BAAI/Aquila-7B) / [AquilaChat-7B](https://huggingface.co/BAAI/AquilaChat-7B) **Bindings:** @@ -492,6 +493,9 @@ Building the program with BLAS support may lead to some performance improvements # obtain the original LLaMA model weights and place them in ./models ls ./models 65B 30B 13B 7B tokenizer_checklist.chk tokenizer.model + # [Optional] for models using BPE tokenizers + ls ./models + 65B 30B 13B 7B vocab.json # install Python dependencies python3 -m pip install -r requirements.txt @@ -499,6 +503,9 @@ python3 -m pip install -r requirements.txt # convert the 7B model to ggml FP16 format python3 convert.py models/7B/ + # [Optional] for models using BPE tokenizers + python convert.py models/7B/ --vocabtype bpe + # quantize the model to 4-bits (using q4_0 method) ./quantize ./models/7B/ggml-model-f16.bin ./models/7B/ggml-model-q4_0.bin q4_0 |