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
- [New Model]: ibm-granite/granite-4.0-h-small-FP8
- [Bug]: CUDBG_EXCEPTION_WARP_ILLEGAL_ADDRESS in `cutlass_moe_mm` on h100
- [Build] Optimize docker layers sizes
- [Bugfix] Respect ignore list for NVFP4/BF16 mixed MoE checkpoints
- [VLLM Qwen] Add model.lm_head to skipped prefixes
- [Model] make the `inv_freq` in `Qwen2_5_VisionRotaryEmbedding` device-agnostic
- [Bug]: Qwen3 VL describes 512x512 images wrong
- [RFC]: Tracking Spec Decode Support
- [Feature]: Thresholds for enabling Sequence Parallelism + Async TP
- bench(openai-chat): Use continuous usage stats for per-token ITL; correct TTFT; add chunk-gap fallback + unit tests
- Docs
- Python not yet supported