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
- [rust] feat: add ERNIE 4.5 tool parser
- [KVCache] Support model specific KVCache planning
- [Bug]: Logprobs values change based on the number of requested log probabilities
- [Core] Support hidden-state extraction for hybrid models
- Add DeepSeek-V4 FIM completion rendering
- [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.
- Docs
- Python not yet supported