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
- [Frontend][Voxtral] Add opt-in segment timestamps to /v1/realtime
- [Feature][Gemma4]: Allow configuring max_soft_tokens for video frames
- [Spec Decode] perf: precompute draft-to-target index mapping in eagle/dflash models
- [ROCm][CI] Baseline legacy extensions in the Torch ABI audit
- [Bugfix][V1] Sync mamba_block_size via EngineCoreReadyResponse
- [Feature]: Consolidate performance benchmark datasets
- [ROCm][Quark] Enable opt-in K3 SiTUv2 A8W4 routed MoE
- [Doc] Use wheel index for CUDA variant installation
- [Bugfix][Core] Await multi-iterator cancellation cleanup
- [Feature]: Enable offline benchmarking on MMVU dataset with `vllm bench throughput`
- Docs
- Python not yet supported