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
- Add batched and grouped EPLB communication
- [Model] Use layer_types config for sliding window selection in GPT-OSS
- [Bug]: torch.distributed.DistNetworkError: The client socket has timed out after 600000ms while trying to connect to (172.17.0.9, 46229).
- [Feature]: `CustomOp` cleanup
- Add accuracy test for SM100 Llama-4-Scout NVFP4
- [Bug]: Qwen3 vLLM Structured Output Ignores Field Descriptions
- [Feature]: Allow usage of chat_template_kwargs and add_generation_prompt in /embeddings endpoint
- [Bug]: vLLM Deployment of Qwen3-8B Model Streaming Output Tool Content Missing Issue
- [Feature]: Propose in docs a complete example of `pyproject.toml` to be used directly with `uv sync`
- [RFC]: Add a cache hit threshold to handle Preemptions in PD-Disaggregation and enable lightweight powerful P/D implementations
- Docs
- Python not yet supported