- 23 Jun, 2025 1 commit
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Daniel Hiltgen authored
* Re-remove cuda v11 Revert the revert - drop v11 support requiring drivers newer than Feb 23 This reverts commit c6bcdc42. * Simplify layout With only one version of the GPU libraries, we can simplify things down somewhat. (Jetsons still require special handling) * distinct sbsa variant for linux arm64 This avoids accidentally trying to load the sbsa cuda libraries on a jetson system which results in crashes. * temporary prevent rocm+cuda mixed loading
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- 20 Jun, 2025 1 commit
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Daniel Hiltgen authored
Enable parallel building of the GPU architectures.
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- 13 May, 2025 1 commit
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Daniel Hiltgen authored
Bring back v11 until we can better warn users that their driver is too old. This reverts commit fa393554.
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- 07 May, 2025 1 commit
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Daniel Hiltgen authored
This reduces the size of our Windows installer payloads by ~256M by dropping support for nvidia drivers older than Feb 2023. Hardware support is unchanged. Linux default bundle sizes are reduced by ~600M to 1G.
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- 25 Apr, 2025 1 commit
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Michael Yang authored
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- 27 Mar, 2025 1 commit
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saman-amd authored
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- 17 Mar, 2025 1 commit
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Daniel Hiltgen authored
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- 28 Feb, 2025 1 commit
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Jeffrey Morgan authored
Focuses initial Blackwell support on compute capability 12.0 which includes the 50x series of GeForce cards. In the future additional compute capabilities may be added
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- 26 Feb, 2025 1 commit
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Daniel Hiltgen authored
* Add cuda Blackwell architecture for v12 * Win: Split rocm out to separate zip file * Reduce CC matrix The 6.2 and 7.2 architectures only appear on Jetsons, so they were wasting space. The 5.0 should be forward compatible with 5.2 and 5.3.
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- 25 Feb, 2025 1 commit
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Pavol Rusnak authored
CUDA 12.x still supports Compute Capability 5.0, 5.2 and 5.3, so let's build for these architectures as well
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- 07 Feb, 2025 1 commit
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Michael Yang authored
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- 29 Jan, 2025 1 commit
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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:
jmorganca <jmorganca@gmail.com> Co-authored-by:
Daniel Hiltgen <daniel@ollama.com>
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