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
- [Model] Fix quantized DFlash Qwen3 draft support
- [Bugfix] Exclude O(1) Mamba groups from hybrid KV cache token capacity
- Fix Gemma4 KV cache page-size alignment for per-token-head quantization
- [vLLM IR] Add E2E Lowering Tests
- Add prompt field to GenerateRequest protocol and update render endpoints
- gemma4: batch multimodal vision processing
- [BugFix]Auto-size FlashInfer workspace buffer to prevent buffer overflows on model
- [ROCm] Add HIP paged attention kernel for TurboQuant k8v4 decode
- [bugfix] Fix floating-point comparisons in GPU sampling kernels to use epsilon…
- [Bugfix] Clarify FLASHINFER limitation for per-attention-head KV quantization
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