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][Perf] FP8 o-projection for DeepSeek-V4.1-Flash MLA on AMD MI355X
- [Bugfix][Frontend] Handle FINISHED_ABORTED in streaming logic by emitting error event
- [Bugfix][Attention] Avoid NaN from empty seq_len in Triton MLA decode (CUDA graph pad)
- [Bugfix][Spec Decode] Separate DSpark from EAGLE prefix-cache block drop
- [Bugfix][Tool Parser] Keep content after FunctionGemma tool calls in non-streaming parse
- [Bug]: Qwen3.8-Flash-Next-NVFP4 service cannot start normally.
- [DSA] Add fuse_score_remap fused decode score+topk backend
- [Bugfix][RL] Handle non-contiguous sparse NCCL patches
- [ROCm][Bugfix] Support FP8 KV cache for NoPE sparse MLA
- [Parser] Fix: strip content whitespace at tool-call boundaries in streaming path
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- Python not yet supported