Download scripts/bench/setup_vllm.sh from jaytonde05/kv-cache-quantization-commands: direct link, hf CLI and curl.
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- Download file 425 Bytes
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https://huggingface.co/datasets/jaytonde05/kv-cache-quantization-commands/resolve/main/scripts/bench/setup_vllm.sh
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hf download hf://datasets/jaytonde05/kv-cache-quantization-commands/scripts/bench/setup_vllm.sh
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curl -L -o setup_vllm.sh https://huggingface.co/datasets/jaytonde05/kv-cache-quantization-commands/resolve/main/scripts/bench/setup_vllm.sh
425 Bytes
| set -x | |
| export PATH=$HOME/.local/bin:$PATH | |
| source ~/kvq-env/bin/activate | |
| C=3ad096faf81b4734ae995aa66f4ca0c904cea978 | |
| uv pip install "vllm==0.32.0rc1.dev30+g3ad096faf" --extra-index-url https://wheels.vllm.ai/$C/ --index-strategy unsafe-best-match | |
| python -c "import vllm, torch; print(\"vllm\", vllm.__version__, \"torch\", torch.__version__, \"cuda\", torch.version.cuda, torch.cuda.is_available())" | |
| echo VLLM_DONE | |