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36 lines
1.2 KiB
Markdown
36 lines
1.2 KiB
Markdown
## Using llama.cpp in the web UI
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1. Re-install the requirements.txt:
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```
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pip install -r requirements.txt -U
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```
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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
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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`.
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4. Start the web UI normally:
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```
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python server.py --model llamacpp-7b
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```
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* 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.
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* You can change the number of threads with `--threads N`.
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## Performance
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This was the performance of llama-7b int4 on my i5-12400F:
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> Output generated in 33.07 seconds (6.05 tokens/s, 200 tokens, context 17)
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## Limitations
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~* 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.~
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~* Only 512 tokens of context can be used.~
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~Both of these should be improved soon when llamacpp-python receives an update.~
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