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
- [Bug]: V1 thinking budget corrupts a multi-token reasoning_end_str under speculative decoding
- [Bug]: MiniMax M2 tool parser drops </think> with minimax_m2_append_think
- [XPU] Enable host registration for shared KV offload
- [Bugfix] Keep closing </think> delimiter in MiniMax M2 append-think mode
- run glm5next dense on cpu
- [Attention][Perf] Use natural-log LSE views for FlashInfer DCP prefill
- [Bugfix] Keep Hunyuan A13B streaming envelope open until </answer> closes
- [Feature][Model] Add native DistilBERT sequence classification support
- [Bug][MooncakeConnector] Decode-side bootstrap query has hardcoded 5s httpx default timeout — unconfigurable, no retry, fatal for first PD request in cold-start window
- [Core] Default prefix_cache_retention_interval to a block multiple for hybrid + EAGLE
- Docs
- Python not yet supported