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] Make DSpark work end-to-end with FLASHINFER_MLA_SPARSE_DSV4
- [Perf] Avoid a per-prefill-step GPU->CPU sync in the KDA chunk kernels
- [CPU][MoE] Support DeepSeekV3 routing and group-size-32 INT4 checkpoints
- [Feature] Add PP-first placement for multiprocess serving
- [Bug]: RustToolParser streaming can drop buffered text at stream end
- [Bugfix][Frontend] Report Cohere stop sequences correctly
- [CI] Stabilize DP supervisor lifecycle tests
- [Model] Add K-EXAONE-2.0-750B-A37B-DSpark
- [Test] Extend shared tool-parser parity suite to 6 more parsers
- [Bug]: GatedDeltaNet metadata builder classifies a stateless first chunk as a decode (same root cause as #51483)
- Docs
- Python not yet supported