vbatts/llama.cpp
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akawrykow 2024-01-12 00:46:53 -06:00 • committed by GitHub
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@ -601,7 +601,8 @@ Building the program with BLAS support may lead to some performance improvements
```bash
# obtain the original LLaMA model weights and place them in ./models
ls ./models
65B 30B 13B 7B tokenizer_checklist.chk tokenizer.model
65B 30B 13B 7B tokenizer.model
# [Optional] for models using BPE tokenizers
ls ./models
65B 30B 13B 7B vocab.json
@ -610,7 +611,8 @@ ls ./models
python3 -m pip install -r requirements.txt
# convert the 7B model to ggml FP16 format
python3 convert.py models/7B/
# Use --ctx 4096 for LLaMA v2
python3 convert.py models/7B/ --ctx 2048
# [Optional] for models using BPE tokenizers
python convert.py models/7B/ --vocabtype bpe