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
- [Bugfix][Spec Decode] Fix multimodal embedding merge in Llama 4 and Mistral Large 3 EAGLE drafters
- [Bugfix] Keep TRTLLM attention when FlashInfer cubins are local
- [Perf][Kernel] Fuse post-norm, residual add and pre-norm into one op
- [Bugfix][DP] add_dp_placement_groups does not require ray[default]
- [Spec Decode] Fix Hybrid Mamba KV-cache admission for dynamic K
- [Bugfix][NIXL] Dedup transfer regions by (base_addr, block_len)
- [Bugfix] Copy unaligned packed slices before dtype view
- [Perf][Attention][PCP] Reuse MLA context across PCP virtual rows
- [Bug]: Decode throughput drops ~3.3x from 0.26.0 to 0.29.0 on H100 (Qwen3.6-35B-A3B-FP8, same config, same backends)
- [Bugfix][Scheduler] Update structured output state for streaming sessions
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- Python not yet supported