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
- [KV Connector][Offloading] Certify attention-only hybrids in the canonical portability gate
- [KV Connector][Offloading] Look through UniformTypeKVCacheSpecs in the canonical portability gate
- [KV Connector][Offloading] Certify per-token-head KV quant in the canonical layout
- [ROCm][Perf] Add bpreshuffled blockscaled fp8 GEMM
- [Bug]: Inkling-Small structured-output request returns 500 ("grammar rejected tokens [200028]")
- [Bug]: xlam tool parser: streamed tool-call arguments duplicated by end-of-stream flush; markers/JSON leak into content
- [Bug]: gigachat3 tool parser leaks special tokens into streamed content/arguments when they are split across deltas
- [5/N][KV-Cache Layout Refactor] Backend-published KV packing via customize_spec
- [ROCm][DSpark][DCP] Support decode context parallelism for Kimi-K3 DSpark
- [Test] Add a coverage ratchet for per-parser tool-calling tests
- Docs
- Python not yet supported