# llama-cpp-wheels by Aryan Nukala: AI Training Dataset Source: https://savrn.com/datasets/llama-cpp-wheels Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## Dataset Card By Aryan Nukala, published under mit, revision 21be2b12259c. If you like this please consider liking and donating (https://buymeacoffee.com/aiencoder) ### llama-cpp-python Mega-Factory Wheels "Stop waiting for pip to compile. Just install and run." The most complete collection of pre-built llama-cpp-python wheels in existence — 8,333 wheels across every platform, Python version, backend, and CPU optimization level. No more cmake, gcc, or compilation hell. No more waiting 10 minutes for a build that might fail. Just find your wheel and pip install it directly. ### Why These Wheels? Standard wheels target the "lowest common denominator" to avoid crashes on old hardware. This collection goes further — the manylinux wheels are built using a massive Everything Preset targeting specific CPU instruction sets, maximizing your Tokens per Second (T/s). [Read the full dataset card (822 words)](https://savrn.com/datasets/llama-cpp-wheels/card) ## Details Repository AIencoder/llama-cpp-wheels Publisher Aryan Nukala Task category Text generation Tags code, llama-cpp, llama-cpp-python Size category 1K