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
- [Bug]: Intermittent Xid 31 MMU fault in pynccl all_reduce during CUDA graph
- [Bug]: MRotaryEmbedding + YaRN uses 4x original_max_position_embeddings for the YaRN correction range and cache size
- [Feature]: Allow LBNHC/NHD for ROCM_AITER_UNIFIED_ATTN where supported
- [Bugfix][Quantization] Name the layer when a MoE expert weight is unquantized
- [Perf][Core] Restore compact prefix-cache entries after duplicate eviction
- [Bugfix] Keep FlashAttention sparse ahead of FlashInfer SM90 for NoPE-512 MLA
- [Bug]: DFlash2 speculative decoding acceptance permanently collapses to 0% right after prefix cache hit rate goes positive (Qwen3.5 hybrid GDN)
- [Bugfix][Core] Reject malformed logits processor FQCNs
- [Perf][MRV2] Reduce cross-lane reductions in min-p filtering
- [Bugfix][Rust Frontend] Guard every route by default in the API-key middleware
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