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
- [Structured Output] Compose auto tool-call grammar with response_format schema
- [Bugfix] Migrate Olmo3 reasoning parser to the streaming parser engine
- Optimize hybrid postprocess with single loop (#48120)
- [Bugfix] Fix lfm2 tool parser dropping calls with brackets or newline…
- [Feature]: Prefix LM kernel on ROCm_ATTN
- [Bugfix][TurboQuant] Preserve KV cache dtype in reshape KV tensors
- [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