vbatts/llama.cpp
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readme : minor (#5204)

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This is about tuning the code formatting of the README file
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Romain Neutron 2024-01-30 10:16:38 +01:00 • committed by GitHub
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README.md
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@ -290,7 +290,7 @@ In order to build llama.cpp you have three different options.
sudo pkg install gmake automake autoconf pkgconf llvm15 clinfo clover \
opencl clblast openblas
gmake CC=/usr/local/bin/clang15 CXX=/usr/local/bin/clang++15 -j4
gmake CC=/usr/local/bin/clang15 CXX=/usr/local/bin/clang++15 -j4
```
**Notes:** With this packages you can build llama.cpp with OPENBLAS and
@ -613,9 +613,9 @@ 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
# [Optional] for models using BPE tokenizers
ls ./models
65B 30B 13B 7B vocab.json
# install Python dependencies
python3 -m pip install -r requirements.txt
@ -623,8 +623,8 @@ 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
# [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.gguf ./models/7B/ggml-model-q4_0.gguf q4_0