mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-30 03:18:57 +01:00
44 lines
1.3 KiB
Markdown
44 lines
1.3 KiB
Markdown
# llama.cpp
|
|
|
|
llama.cpp is the best backend in two important scenarios:
|
|
|
|
1) You don't have a GPU.
|
|
2) You want to run a model that doesn't fit into your GPU.
|
|
|
|
## Setting up the models
|
|
|
|
#### Pre-converted
|
|
|
|
Download the GGUF models directly into your `text-generation-webui/models` folder. It will be a single file.
|
|
|
|
* Make sure its name ends in `.gguf`.
|
|
* `q4_K_M` quantization is recommended.
|
|
|
|
#### Convert Llama yourself
|
|
|
|
Follow the instructions in the llama.cpp README to generate a GGUF: https://github.com/ggerganov/llama.cpp#prepare-data--run
|
|
|
|
## GPU acceleration
|
|
|
|
Enabled with the `--n-gpu-layers` parameter.
|
|
|
|
* If you have enough VRAM, use a high number like `--n-gpu-layers 1000` 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.
|
|
|
|
This feature works out of the box for NVIDIA GPUs on Linux (amd64) or Windows. For other GPUs, you need to uninstall `llama-cpp-python` with
|
|
|
|
```
|
|
pip uninstall -y llama-cpp-python
|
|
```
|
|
|
|
and then recompile it using the commands here: https://pypi.org/project/llama-cpp-python/
|
|
|
|
#### macOS
|
|
|
|
For macOS, these are the commands:
|
|
|
|
```
|
|
pip uninstall -y llama-cpp-python
|
|
CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir
|
|
```
|