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
- [WIP][Kernel] Add Helion kernel for dynamic_per_tensor_scaled_fp8_quant
- [Bug]: Qwen3-Coder-Next fails with Triton allocator error on DGX Spark cluster (GB10, sm121)
- fix: Qwen3ReasoningParser - handle prompt prefix format for Thinking models
- Add FlashAttention v2.8.3 scaling benchmark on Mistral-7B (H100)
- Waller Operator: Constant 14ms attention latency across 512-524K tokens (24.5x faster than FlashAttention at 32K)
- [RFC]: [compile] Rollout strategy for AOT Compilation.
- [RFC]: Expose RequestOutput hook for programmatic use of Serving layer
- [CI Failure]: mi325_4: LM Eval Large Models (H100)
- ovis 2.5 - vlm compilation fixes
- [Bug]: mistral3 offline multimodal inference example failing with prompt placeholder error
- Docs
- Python not yet supported