text-generation-webui/docs/llama.cpp-models.md

Using llama.cpp in the web UI

1. Re-install the requirements.txt:

pip install -r requirements.txt -U

2. Follow the instructions in the llama.cpp README to generate the ggml-model-q4_0.bin file: https://github.com/ggerganov/llama.cpp#usage

3. Create a folder inside models/ for your model and put ggml-model-q4_0.bin in it. For instance, models/llamacpp-7b/ggml-model-q4_0.bin.

4. Start the web UI normally:

python server.py --model llamacpp-7b

• This procedure should work for any ggml*.bin file. Just put it in a folder, and use the name of this folder as the argument after --model or as the model loaded inside the interface.
• You can change the number of threads with --threads N.

Performance

This was the performance of llama-7b int4 on my i5-12400F:

Output generated in 33.07 seconds (6.05 tokens/s, 200 tokens, context 17)

Limitations

* The parameter sliders in the interface (temperature, top_p, top_k, etc) are completely ignored. So only the default parameters in llama.cpp can be used.

* Only 512 tokens of context can be used.

Both of these should be improved soon when llamacpp-python receives an update.