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]: Native KV offloading with prefix caching changes tool visibility after a long shared-prefix request on Qwen3.6
- [Bugfix][Quantization] Respect explicit WNA16 MoE backend
- [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
- [Bug]: Nemotron model CUDA error: an illegal memory access was encountered
- [RFC]: Standalone Rust renderer
- [Bug] Inkling on sm_121a (GB10): unclamped q-row in rel-bias score-mod gather causes deterministic illegal address (coredump evidence); + aux-stream KV-write race in fused_qkvr_prep
- [Bugfix] Emit a valid media type from encode_{audio,image,video}_url
- Docs
- Python not yet supported