vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Model] vllm v1 support mlp_speculator
- Layered Dockerfile for smaller size and faster image pulling
- [Bug]: FP4 not leverage on RTX 6000 Pro (Blackwell)
- [Usage]: how to make one quantized model(w4a FP8). I used llm-compressor make one. But it not work in vllm 0.10.2.
- [RFC]: Limit the use of envvars in vLLM
- [Bug]: vLLM server not starting when running Qwen/Qwen3-VL-30B-A3B-Instruct on 2 A6000 GPUs.
- [Bugfix] Handle escaped characters in GLM tool parser to prevent double serialization
- Fix/responses api harmony channel metadata #28262
- [Kernel] Unified attention kernel performance tuning
- [Core] Extending I/O Plugins
- Docs
- Python not yet supported