Merge pull request #1697 from dhiltgen/win_docs
Add windows native build instructions
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commit
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1 changed files with 39 additions and 5 deletions
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@ -38,37 +38,71 @@ Now you can run `ollama`:
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./ollama
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```
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## Building on Linux with GPU support
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### Linux
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#### Linux CUDA (NVIDIA)
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### Linux/Windows CUDA (NVIDIA)
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*Your operating system distribution may already have packages for NVIDIA CUDA. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!*
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Install `cmake` and `golang` as well as [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads) development and runtime packages.
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Then generate dependencies:
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```
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go generate ./...
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```
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Then build the binary:
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```
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go build .
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```
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### Linux ROCm (AMD)
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#### Linux ROCm (AMD)
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*Your operating system distribution may already have packages for AMD ROCm and CLBlast. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!*
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Install [CLBlast](https://github.com/CNugteren/CLBlast/blob/master/doc/installation.md) and [ROCm](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html) developement packages first, as well as `cmake` and `golang`.
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Adjust the paths below (correct for Arch) as appropriate for your distributions install locations and generate dependencies:
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```
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CLBlast_DIR=/usr/lib/cmake/CLBlast ROCM_PATH=/opt/rocm go generate ./...
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```
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Then build the binary:
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```
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go build .
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```
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ROCm requires elevated privileges to access the GPU at runtime. On most distros you can add your user account to the `render` group, or run as root.
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## Containerized Build
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#### Containerized Linux Build
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If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included.
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If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included. The resulting binary is placed in `./dist`
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### Windows
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Note: The windows build for Ollama is still under development.
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Install required tools:
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- MSVC toolchain - C/C++ and cmake as minimal requirements
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- go version 1.20 or higher
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- MinGW (pick one variant) with GCC.
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- <https://www.mingw-w64.org/>
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- <https://www.msys2.org/>
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```powershell
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$env:CGO_ENABLED="1"
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go generate ./...
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go build .
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```
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#### Windows CUDA (NVIDIA)
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In addition to the common Windows development tools described above, install:
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- [NVIDIA CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html)
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