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
- [Bugfix] Fix speculative decoding for short_conv (LFM2) models
- [Feature][Parser] Support include_reasoning param for non-Harmony models
- [Bugfix] Fix linear host RSS growth under sustained classification load with prefix caching (V1)
- [API] Add token offsets to render endpoints (/v1/.../render)
- [MoE Refactor] Migrate MoeWNA16Method quantization method over to using the new MK oracle scheme.
- [Bugfix][Kimi] Preserve dotted tool names and strip streamed argument whitespace
- [Bugfix][Kimi] Surface raw output when a tool-call section parses no calls
- [Bugfix][Frontend] Avoid KeyError in tool_choice validation for tools missing a function key
- [Bug]: Kimi 2.5 response formatting error / corrupted JSON output with huge whitespaces under high concurrency (H20)
- Bug Fix: Correct Device Detection for pin_memory in Packed/MoE LoRA Adapters
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