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
- Remove unnecessary `load_weights` methods
- Add Thor selective state update configs
- 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)
- [Bugfix][KV Connector] Gracefully fall back when LMCacheConnectorV1 is degraded
- [Bug]: Missing logger output when api-server-count > 1 with internal DP (data parallel) load balancing enabled
- [Feature][Frontend] Add APC prefix cache hit rate to PD usage details
- [CPU][Perf]Added tanh AOR for faster gelu activations.
- Docs
- Python not yet supported