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
- [Feature]: lora support for deepseek v4.1 flash
- [Bug]: Multi-turn benchmark drops unfinished active conversations when the task queue is exhausted
- [RFC]: Retain MRV2 DBO CUDA Graph replay under DP imbalance through real-token staging
- [Feature][Core] Warn when estimated decode coverage exceeds CUDA graph capture size
- [Rust Frontend] Support chat completion output logging
- Cap multimodal content-part uuid length (cache_salt parity)
- [RFC][ROCm]: Decode Context Parallelism (DCP) for DeepSeek-V4 hybrid SWA + compressed KV cache
- [Perf][TP] Skip full-vocabulary gather for exact greedy sampling
- [WIP][Model][ROCm][DCP] DeepSeek-V4 decode context parallelism
- [Bugfix][Parser] Resolve stripped special-token terminals without holding the stream
- Docs
- Python not yet supported