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] Ignore DeepSeek V4 thinking sampling overrides
- [CI] Retry transient tokenizer loads in detokenizer tests
- [Bug]: MiniMax M2 tool parser drops </think> with minimax_m2_append_think
- [Attention][Perf] Reduce FlashInfer DCP prefill overhead
- [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
- [Feature][Frontend] Add opt-in chat message truncation
- [Bugfix][Helm] Add startup probe for slow model initialization
- [Feature][MoE] Collect expert distributions with or without EPLB
- [Performance]: multimodal preprocessing is single-threaded per API server; a wider thread pool does not help (GIL) — process pool for _mm_executor?
- Docs
- Python not yet supported