mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-22 16:17:57 +01:00
54 lines
1.5 KiB
Markdown
54 lines
1.5 KiB
Markdown
# Using llama.cpp in the web UI
|
|
|
|
## Setting up the models
|
|
|
|
#### Pre-converted
|
|
|
|
Place the model in the `models` folder, making sure that its name contains `ggml` somewhere and ends in `.bin`.
|
|
|
|
#### Convert LLaMA yourself
|
|
|
|
Follow the instructions in the llama.cpp README to generate the `ggml-model.bin` file: https://github.com/ggerganov/llama.cpp#usage
|
|
|
|
## GPU acceleration
|
|
|
|
Enabled with the `--n-gpu-layers` parameter.
|
|
|
|
* If you have enough VRAM, use a high number like `--n-gpu-layers 200000` to offload all layers to the GPU.
|
|
* Otherwise, start with a low number like `--n-gpu-layers 10` and then gradually increase it until you run out of memory.
|
|
|
|
To use this feature, you need to manually compile and install `llama-cpp-python` with GPU support.
|
|
|
|
#### Linux
|
|
|
|
```
|
|
pip uninstall -y llama-cpp-python
|
|
CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir
|
|
```
|
|
|
|
#### Windows
|
|
|
|
```
|
|
pip uninstall -y llama-cpp-python
|
|
set CMAKE_ARGS="-DLLAMA_CUBLAS=on"
|
|
set FORCE_CMAKE=1
|
|
pip install llama-cpp-python --no-cache-dir
|
|
```
|
|
|
|
#### macOS
|
|
|
|
```
|
|
pip uninstall -y llama-cpp-python
|
|
CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir
|
|
```
|
|
|
|
Here you can find the different compilation options for OpenBLAS / cuBLAS / CLBlast: https://pypi.org/project/llama-cpp-python/
|
|
|
|
## Performance
|
|
|
|
This was the performance of llama-7b int4 on my i5-12400F (cpu only):
|
|
|
|
> Output generated in 33.07 seconds (6.05 tokens/s, 200 tokens, context 17)
|
|
|
|
You can change the number of threads with `--threads N`.
|