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
- [Bug]: auto_round (INC) path hardcodes lm_head_quantized=False, crashing on checkpoints with quantized lm_head that auto-round legally produces
- [bugfix] fix minicpmv mm prompt placeholder parse error
- [MRV2] Capture routed experts from supported monolithic MoE kernels
- [CI] Add M3 MSA tests to CI
- [RFC]: Standalone Rust renderer
- [Bugfix] Emit a valid media type from encode_{audio,image,video}_url
- [Bugfix][KV Connector] Propagate EAGLE state across merged Mooncake store groups
- [Bug]: MiniMax-M3 NVFP4 produces garbage output + CUDA illegal memory access on Hopper (sm90) via Marlin FP4-MoE
- [Perf] fused_moe: load B weights via TMA tensor descriptor on SM90+
- fix(security): validate allowed_token_ids against model output vocab size
- Docs
- Python not yet supported