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] Align CPU offload pool size across PP/spec-decode workers
- [EPLB] Add contention-aware expert migration batching
- [Reasoning] Break repeating reasoning loops by forcing the reasoning end sequence
- [Quantizaiton][Feature] Pluggable KV Cache Data Types
- [Performance][MLA] Use FP16 logits for sparse indexer
- [Bugfix][Parser] Recover DeepSeek V4 tool calls with malformed DSML wrappers
- [Bugfix] Reload speculative draft weights after Level 2 sleep wake
- [Bugfix] Muse Glimmer: apply structured outputs to the to=user answer
- [Kernel][Model] Add manual CUDA RoPE KV-cache fusion for Llama
- [Feature][ROCm] Enable gfx1030 (RDNA2) as a recognized RDNA arch
- Docs
- Python not yet supported