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
- [ROCm][CI] Cache Rust builds by source inputs
- Enable asymmetric (zero_point) quant for Humming kernel
- [CI Flaky test]: Flaky batch invariant test with FLEX_ATTENTION
- [Core] Skip building unused per-step scheduler-output fields
- [kv_offload] Emit secondary-tier BlockStored presence events
- [Frontend][KV Connector] Plumb request session id to Mooncake worker
- [M3] Enable FlashInfer A2A for Minimax-M3-MXFP8
- [Llama4] Restore disable-by-default for chunked local attn with HMA
- [Bugfix] Lazy-grow InputBatch token_ids_cpu / is_token_ids buffers
- [Feature]: Support for the OpenAI input_file content part
- Docs
- Python not yet supported