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][Spec Decode] Derive num_speculative_tokens from a speculators draft config
- [Kernel][Perf] Triton unified attention: window-align the KV-tile iteration for sliding-window / chunked attention
- Remove unnecessary `load_weights` methods
- Add Thor selective state update configs
- [Bugfix] OffloadingConnector: respect skip_reading_prefix_cache flag
- [Misc] usage_stats: report more engine, spec-decode, and EP config
- Fix empty DP model step coordination
- [Bug]:correct prompt_tokens_details.cached_tokens under PD disaggregated mode
- [FRONTEND]: forward VLLM_ENGINE_READY_TIMEOUT_S to Rust frontend via --args-json
- [Structured Output] Limit whitespace in JSON schema FSM to prevent runaway whitespace (issue #38696)
- Docs
- Python not yet supported