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
- [Structured Output] Add optional persistent disk cache for compiled xgrammar grammars
- Add tuned fused_moe config for Qwen3-Coder-Next-FP8 on NVIDIA GB10
- [Bugfix] Reject float16 in Marlin MXFP8 kernel selection
- [bugfix][models] Correct torch.compile backend selection for DiffusionGemma
- [KV Offloading] Add basic offloading metrics
- [Bugfix] Seed RayExecutorV2 TCPStore port by DP rank to avoid collisions
- [Bugfix][Model] Add stability window to DiffusionGemma to match HF stability_threshold semantics
- [Bugfix] Honor override_generation_config for special tokens
- [V1][LoRA] Version prefix-cache keys for local runtime LoRA reloads
- [Bug]: Repeated `start_profile`/`stop_profile` in the same process produces no trace files
- Docs
- Python not yet supported