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]: Deduplicate replicated MLA KV across TP ranks in native offloading
- [Bug]: DFlash/DSpark draft acceptance collapses with automatic prefix caching enabled
- [Bugfix][Frontend] Preserve abort finish_reason for scale-out token streams
- [GLM 5.2] Integrate NVFP4 MegaMoE
- [MoE] Add flashinfer.moe_ep (NCCL-EP) all2all backends: flashinfer_ep_low_latency / flashinfer_ep_high_throughput
- [LoRA] Skip empty-LoRA path in eager mode when no adapter is active
- [Bugfix][Frontend] Anchor empty-args detection to the current tool in xlam and hunyuan_a13b streaming parsers
- [Bugfix] Report finish_reason='length' for tool calls truncated by max_tokens in streaming
- [Parser][Test] Add streaming/non-streaming parity tests for truncated tool calls
- [Bugfix][Tool Parser] Return early for unlisted tool names in InternLM2 parser
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