ollama/.gitignore

.DS_Store
.vscode
.env
.venv
.swp
dist
build
ollama
.cache
*.exe
.idea
test_data
*.crt
__debug_bin*
llama/build
llama/vendor
initial commit 2023-06-22 12:45:31 -04:00			`.DS_Store`
build server executable 2023-06-23 17:18:47 -04:00			`.vscode`
reorganize directories 2023-06-25 13:08:03 -04:00			`.env`
			`.venv`
Update .gitignore 2023-07-22 17:00:52 +03:00			`.swp`
reorganize directories 2023-06-25 13:08:03 -04:00			`dist`
next build (#8539) * 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: jmorganca <jmorganca@gmail.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com> 2025-01-29 15:03:38 -08:00			`build`
add binary to .gitignore 2023-07-05 15:36:34 -04:00			`ollama`
cache docker builds 2023-11-18 08:51:24 -05:00			`.cache`
windows CUDA support (#1262) * Support cuda build in Windows * Enable dynamic NumGPU allocation for Windows 2023-11-24 14:16:36 -08:00			`*.exe`
Add cgo implementation for llama.cpp Run the server.cpp directly inside the Go runtime via cgo while retaining the LLM Go abstractions. 2023-11-13 17:20:34 -08:00			`.idea`
Implement new Go based Desktop app This focuses on Windows first, but coudl be used for Mac and possibly linux in the future. 2023-12-26 16:03:45 -08:00			`test_data`
Switch back to subprocessing for llama.cpp This should resolve a number of memory leak and stability defects by allowing us to isolate llama.cpp in a separate process and shutdown when idle, and gracefully restart if it has problems. This also serves as a first step to be able to run multiple copies to support multiple models concurrently. 2024-03-14 10:24:13 -07:00			`*.crt`
llama: Decouple patching script from submodule (#7139) * Refine llama.cpp vendoring workflow tools Switch from the sync.sh over to make based tooling * Run new make sync and patch flow 2024-10-17 15:03:09 -07:00			`__debug_bin*`
next build (#8539) * 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: jmorganca <jmorganca@gmail.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com> 2025-01-29 15:03:38 -08:00			`llama/build`
			`llama/vendor`