e5202eb687
By default builds will now produce non-debug and non-verbose binaries. To enable verbose logs in llama.cpp and debug symbols in the native code, set `CGO_CFLAGS=-g`
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# Development
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- Install cmake or (optionally, required tools for GPUs)
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- run `go generate ./...`
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- run `go build .`
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Install required tools:
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- cmake version 3.24 or higher
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- go version 1.20 or higher
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- gcc version 11.4.0 or higher
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```bash
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brew install go cmake gcc
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```
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Optionally enable debugging and more verbose logging:
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```bash
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export CGO_CFLAGS="-g"
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```
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Get the required libraries and build the native LLM code:
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```bash
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go generate ./...
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```
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Then build ollama:
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```bash
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go build .
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```
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Now you can run `ollama`:
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```bash
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./ollama
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```
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## Building on Linux with GPU support
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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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*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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If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included. |