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][Rust Frontend] Guard every route by default in the API-key middleware
- [Bugfix] Use original context length for mRoPE YaRN correction range
- Fix reduced auxiliary states in NVIDIA DeepSeek V3.2 model
- [Feature]: Reduced draft vocabulary for MTP drafters that share the target lm_head (measured +25-29 % decode)
- [Feature]: [Rust Frontend][Multimodal] Add Gemma 4 image support / multimodal model spec
- [Perf][HYV4] Fuse iHC boundaries across decoder layers
- [Attention] Enable FA4 CUDA graphs for adaptive verification
- [KV Offload] Add compact filesystem files
- [Bug]: `VLLM_DEBUG_MFU_METRICS=1` shuts the server down on the first request (msgspec `ValidationError` on `context_breakdown`)
- [Bugfix][CPU] Default to V1 model runner on CPU backend (#58565)
- Docs
- Python not yet supported