vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Bugfix] Handle MoE padding sentinel in FlashInfer b12x experts
- [ROCm][Perf] Reach the fused QSA pre-indexer from the AMD path
- [Perf][KV Connector][Mooncake] Pack hybrid/MLA KV into coalesced transfer regions
- Repro/qwen35 4b dflash
- [Bugfix][Spec Decode] Raise a DFlash draft's max_position_embeddings to the target's max_model_len
- Add routed-expert prefix omission for AuxOutput
- [AuxOutput] Add Mooncake backend with keys-only R3 output
- [Bugfix][Responses API] Execute parallel built-in tool calls
- [Bugfix] step3 tool parser: record streamed arguments so the finalizer does not duplicate them
- [Bugfix][Spec Decode] Reject ngram_gpu with pipeline parallelism
- Docs
- Python not yet supported