1. 14 Feb, 2025 1 commit
    • Michael Yang's avatar
      next ollama runner (#7913) · 58245413
      Michael Yang authored
      
      
      feat: add new Ollama engine using ggml through cgo
      
      This change introduces a new way to run pretrained models. It introduces 3 high level interfaces and a bunch of smaller helper interfaces to facilitate this.
      
      - `model.Model` defines the interface for a model architecture. Models such as `llama` and `mllama`, which are provided as examples, can implement the model's forward propagation in the `Forward` method. This method will be called to generate completions. This interface can be found in `model/model.go`
      - `ml.Backend` defines the interface for a backend tensor library, in this case `ggml`. Among other things, a Backend is responsible for loading a pretrained model into hardware (GPU, CPU, etc) and providing an interface for Models to access loaded tensors. This interface can be found in `ml/backend.go`
      - `ml.Tensor` defines the interface for a tensor and tensor operations
      
      This is the first implementation of the new engine. Follow up PRs will implement more features:
      
      - non-greedy sampling (#8410)
      - integration with Ollama and KV caching (#8301)
      - more model support (#9080) with more coming soon
      Co-authored-by: default avatarBruce MacDonald <brucewmacdonald@gmail.com>
      58245413
  2. 11 Feb, 2025 1 commit
  3. 10 Feb, 2025 1 commit
  4. 06 Feb, 2025 1 commit
  5. 04 Feb, 2025 1 commit
  6. 31 Jan, 2025 2 commits
  7. 30 Jan, 2025 1 commit
  8. 29 Jan, 2025 1 commit
    • Michael Yang's avatar
      next build (#8539) · dcfb7a10
      Michael Yang authored
      
      
      * add build to .dockerignore
      
      * test: only build one arch
      
      * add build to .gitignore
      
      * fix ccache path
      
      * filter amdgpu targets
      
      * only filter if autodetecting
      
      * Don't clobber gpu list for default runner
      
      This ensures the GPU specific environment variables are set properly
      
      * explicitly set CXX compiler for HIP
      
      * Update build_windows.ps1
      
      This isn't complete, but is close.  Dependencies are missing, and it only builds the "default" preset.
      
      * build: add ollama subdir
      
      * add .git to .dockerignore
      
      * docs: update development.md
      
      * update build_darwin.sh
      
      * remove unused scripts
      
      * llm: add cwd and build/lib/ollama to library paths
      
      * default DYLD_LIBRARY_PATH to LD_LIBRARY_PATH in runner on macOS
      
      * add additional cmake output vars for msvc
      
      * interim edits to make server detection logic work with dll directories like lib/ollama/cuda_v12
      
      * remove unncessary filepath.Dir, cleanup
      
      * add hardware-specific directory to path
      
      * use absolute server path
      
      * build: linux arm
      
      * cmake install targets
      
      * remove unused files
      
      * ml: visit each library path once
      
      * build: skip cpu variants on arm
      
      * build: install cpu targets
      
      * build: fix workflow
      
      * shorter names
      
      * fix rocblas install
      
      * docs: clean up development.md
      
      * consistent build dir removal in development.md
      
      * silence -Wimplicit-function-declaration build warnings in ggml-cpu
      
      * update readme
      
      * update development readme
      
      * llm: update library lookup logic now that there is one runner (#8587)
      
      * tweak development.md
      
      * update docs
      
      * add windows cuda/rocm tests
      
      ---------
      Co-authored-by: default avatarjmorganca <jmorganca@gmail.com>
      Co-authored-by: default avatarDaniel Hiltgen <daniel@ollama.com>
      dcfb7a10