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
- [Doc]: Document hybrid NIXL DS-layout requirement and connector HMA compatibility
- [Compile] Remove get_cached_compilation_config, read compilation config directly
- [Rust Frontend] Add MiMo tool parser
- [Perf][Attention][DSA] Shard prefill indexer rows across TP ranks
- [Bugfix][Model] Fix CohereASR FP16 attention bias dtype
- [Core] Pack execute_model SchedulerOutput for multiproc RPC
- [Bugfix][Core] Reject non-positive output processing chunk sizes
- [Bugfix] Fail a zero-work waiting request instead of crashing EngineCore
- [KV Connector] Support piecewise Store and P/D loading with Mooncake
- [Bugfix] Release async worker outputs before the next dequeue
- Docs
- Python not yet supported