| # llama-cpp-python — Free-Tier Friendly Wheel |
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| This Space provides a **prebuilt `llama-cpp-python` wheel** designed to work |
| **reliably on Hugging Face Free tier Spaces**. |
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| No compilation. No system packages. No build failures. |
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| If your Space crashes during `pip install llama-cpp-python`, this wheel is the fix. |
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| --- |
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| ## Optimized for Hugging Face Free Tier |
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| Hugging Face Free tier Spaces are: |
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| - CPU-only |
| - Limited in memory |
| - Not suitable for native compilation |
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| This wheel is built **ahead of time** so it can be installed instantly without |
| triggering CMake, compilers, or BLAS detection. |
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| --- |
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| ## What this wheel gives you |
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| - ✅ Works on **HF Free tier CPU Spaces** |
| - ✅ Linux (ubuntu-22.04 compatible) |
| - ✅ Python 3.10 |
| - ✅ OpenBLAS enabled (`GGML_BLAS=ON`) |
| - ✅ No system dependencies required |
| - ✅ No build step during Space startup |
| - ✅ Fast, reliable `pip install` |
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| --- |
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| ## How to use in a Space (Free tier) |
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| 1. Download the wheel from the GitHub repository |
| 2. Upload it to your Space |
| 3. Install it in your Space startup: |
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| pip install llama_cpp_python-*.whl> |
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| ## That’s it — your Space will start without build errors. |
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| ## Build details |
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| This wheel was built using: |
| abetlen/llama-cpp-python (recursive submodules) |
| OpenBLAS (GGML_VENDOR=OpenBLAS) |
| scikit-build-core |
| ninja |
| python -m build --wheel --no-isolation |
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| ## Build environment: |
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| OS: Ubuntu 22.04 |
| Python: 3.10 |
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| ## Why not build from source on HF? |
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| On Free tier Spaces, building from source often fails due to: |
| Missing compilers |
| Missing BLAS libraries |
| Memory limits |
| Build timeouts |
| This prebuilt wheel avoids all of those issues. |
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| ## Notes |
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| CPU-only (no CUDA) |
| Intended for inference workloads |
| Not an official upstream release |
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| ## Credits |
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| All credit goes to the maintainers of llama-cpp-python and llama.cpp. |
| This Space exists solely to make Free tier usage painless. |
