Getting started with llama.cpp is straightforward. Here are several ways to install it on your machine:
-- Install `llama.cpp` using [brew, nix or winget](docs/install.md)
+- Install `llama.cpp` using [brew, nix, winget, or conda-forge](docs/install.md)
- Run with Docker - see our [Docker documentation](docs/docker.md)
- Download pre-built binaries from the [releases page](https://github.com/ggml-org/llama.cpp/releases)
- Build from source by cloning this repository - check out [our build guide](docs/build.md)
# Install pre-built version of llama.cpp
-| Install via | Windows | Mac | Linux |
-|-------------|---------|-----|-------|
+| Install via | Windows | Mac | Linux |
+|-------------|---------|------|-------|
+| conda-forge | ✅ | ✅ | ✅ |
| Winget | ✅ | | |
| Homebrew | | ✅ | ✅ |
| MacPorts | | ✅ | |
| Nix | | ✅ | ✅ |
+## conda-forge (Windows, Mac and Linux)
+
+conda-forge provides builds for:
+ - CUDA (Windows and Linux)
+ - Vulkan (Windows and Linux)
+ - Apple Metal (macOS)
+
+```sh
+conda install -c conda-forge llama-cpp
+```
+
+```sh
+mamba install -c conda-forge llama-cpp
+```
+
+```sh
+# Project-local installation
+pixi add llama-cpp
+
+# Global installation
+pixi global install llama-cpp
+```
+
+This distribution is managed on [`conda-forge/llama-cpp-feedstock`](https://github.com/conda-forge/llama.cpp-feedstock/).
+
+Shall you have any problems, please open an issue on [its issue tracker](https://github.com/conda-forge/llama.cpp-feedstock/issues).
+
## Winget (Windows)
```sh