vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [RFC]: Rollout Artifact Transfer Connector for Post-Training Workloads
- [Bug]: docker离线启动qwen3-asr不支持返回时间戳
- [RISC-V] Enable BF16 on VLEN=256 hardware
- [Bug]: qwen3_coder streaming tool parser can emit incomplete JSON arguments with stream_interval > 1
- CUDA architecture coverage audit and tracking
- Revert "Deprecate Transformers v4 support" (#45161)
- [Bug]: v0.19.1 /v1/responses fails for multi-turn Codex requests (GLM-5.1)
- Add NVFP4 dispatch support for DeepEP v2 ElasticBuffer
- [Model][Transformers backend] Fuse q/k/v and gate/up linear groups
- [Bug]: `trtllm_bf16_moe` FI autotune crashes with `illegal memory access` when `--enforce-eager` is set
- Docs
- Python not yet supported