vLLM GGUF Quantization Plugin

This plugin provides out-of-tree GGUF quantization support for vLLM after in-tree support deprecation (vllm-project/vllm#39583).

Installation

Prerequisites

CUDA toolkit or ROCm toolkit

We recommend uv for package management. If you don't have it installed:

curl -LsSf https://astral.sh/uv/install.sh | sh

From Source

Clone this repository:

git clone https://github.com/vllm-project/vllm-gguf-plugin
cd vllm-gguf-plugin

Install the plugin in development mode:

uv pip install -e . --torch-backend=auto

Or install directly:

uv pip install . --torch-backend=auto

Development

uv pip install -e .[dev] --torch-backend=auto
pre-commit install
pre-commit run --all-files

The same hooks also run in GitHub Actions on every push and pull request.

Usage

vllm serve Qwen/Qwen3-0.6B-GGUF:Q8_0 --tokenizer Qwen/Qwen3-0.6B

Download files

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Source Distribution

vllm_gguf_plugin-0.0.4.tar.gz (113.2 kB view details)

Uploaded Jul 12, 2026 Source

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vllm_gguf_plugin-0.0.4-cp310-abi3-manylinux_2_28_x86_64.whl (6.4 MB view details)

Uploaded Jul 12, 2026 CPython 3.10+manylinux: glibc 2.28+ x86-64

vllm_gguf_plugin-0.0.4-cp310-abi3-manylinux_2_28_aarch64.whl (6.4 MB view details)

Uploaded Jul 12, 2026 CPython 3.10+manylinux: glibc 2.28+ ARM64

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