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
- [Feature]: Operator opt-out for the expandable_segments KV-connector rejection (copy-based connectors have no viable config on unified memory)
- [Core] Skip redundant draft token alloc + sampling
- [Core] Add Min-k sampling: temperature-invariant logit-space truncation
- [Bugfix] Migrate Olmo3 reasoning parser to the streaming parser engine
- Optimize hybrid postprocess with single loop (#48120)
- [Feature]: Prefix LM kernel on ROCm_ATTN
- [Perf] Speed up Mamba chunk metadata computation by ~6x
- [Feature]: [Parity with AMD SGLang] MoRI UMBP Offloading support
- [Core][Spec Decode] Reference implementation: per-request effective proposal lengths (RFC #48202)
- [CPU] Add CPU-tuned autotune configs for FLA (GDN) Triton kernels
- Docs
- Python not yet supported