Merge pull request #1697 from dhiltgen/win_docs

Add windows native build instructions

docs/development.md

@@ -38,37 +38,71 @@ Now you can run `ollama`:
 ./ollama
 ```
 
-## Building on Linux with GPU support
+### Linux
 
+#### Linux CUDA (NVIDIA)
 
-### Linux/Windows CUDA (NVIDIA)
 *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!*
 
 Install `cmake` and `golang` as well as [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads) development and runtime packages.
 Then generate dependencies:
+
 ```
 go generate ./...
 ```
+
 Then build the binary:
+
 ```
 go build .
 ```
 
-### Linux ROCm (AMD)
+#### Linux ROCm (AMD)
+
 *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!*
 
 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`.
 Adjust the paths below (correct for Arch) as appropriate for your distributions install locations and generate dependencies:
+
 ```
 CLBlast_DIR=/usr/lib/cmake/CLBlast ROCM_PATH=/opt/rocm go generate ./...
 ```
+
 Then build the binary:
+
 ```
 go build .
 ```
 
 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.
 
-## Containerized Build
+#### Containerized Linux Build
+
+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`
+
+
+### Windows
+
+Note: The windows build for Ollama is still under development.
+
+Install required tools:
+
+- MSVC toolchain - C/C++ and cmake as minimal requirements
+- go version 1.20 or higher
+- MinGW (pick one variant) with GCC.
+  - <https://www.mingw-w64.org/>
+  - <https://www.msys2.org/>
+
+```powershell
+$env:CGO_ENABLED="1"
+
+go generate ./...
+
+go build .
+```
+
+#### Windows CUDA (NVIDIA)
+
+In addition to the common Windows development tools described above, install:
 
-If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included.
+- [NVIDIA CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html)