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Prebuilt LM Wheels
This repo contains metadata and installation instructions for prebuilt wheels for parts of the LLM training and deployment stack.
Tree
.
└── vllm
└── py312torch29cu128
Structure
Each subfolder encodes the package and environment the wheel was built for.
Example, the first wheel pushed for vLLM:
vllm/py312torch29cu128py312-> python3.12torch29-> torch2.9cu128-> cuda12.8
Install
Go to the subfolder matching your environment and see the README for installation instruction. For instance, for the vllm/py312torch29cu128 wheel:
python -m pip install \
"https://huggingface.co/datasets/SakanaAI/lm-wheels/resolve/main/vllm/py312torch29cu128/vllm-0.1.dev1%2Bg2488d1dca.d20260408.cu128-cp312-cp312-linux_x86_64.whl"
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