Update README.md

README.md

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-license: mit
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+# llama-cpp-python — Free-Tier Friendly Wheel
+
+This Space provides a **prebuilt `llama-cpp-python` wheel** designed to work
+**reliably on Hugging Face Free tier Spaces**.
+
+No compilation. No system packages. No build failures.
+
+If your Space crashes during `pip install llama-cpp-python`, this wheel is the fix.
+
+---
+
+## Optimized for Hugging Face Free Tier
+
+Hugging Face Free tier Spaces are:
+
+- CPU-only
+- Limited in memory
+- Not suitable for native compilation
+
+This wheel is built **ahead of time** so it can be installed instantly without
+triggering CMake, compilers, or BLAS detection.
+
+---
+
+## What this wheel gives you
+
+- ✅ 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`
+
+---
+
+## How to use in a Space (Free tier)
+
+1. Download the wheel from the GitHub repository
+2. Upload it to your Space
+3. Install it in your Space startup:
+
+
+
+pip install llama_cpp_python-*.whl>
+
+
+## That’s it — your Space will start without build errors.
+
+## Build details
+
+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
+
+## Build environment:
+
+OS: Ubuntu 22.04
+Python: 3.10
+
+## Why not build from source on HF?
+
+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.
+
+## Notes
+
+CPU-only (no CUDA)
+Intended for inference workloads
+Not an official upstream release
+
+## Credits
+
+All credit goes to the maintainers of llama-cpp-python and llama.cpp.
+This Space exists solely to make Free tier usage painless.