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
- [torch.compile] reuse aot_compile_hash_factors in VllmBackend
- feat: mla prefill merge state fuse static fp8
- [Fusion][Kernel] Add register-based cos/sin variant for NTokenHeads k…
- [Bugfix][Model] Qwen3-VL-MoE NVFP4 (ModelOpt) per-expert weight loading
- Bugfix: fix RMSNormGated input_guard torch.compile dynamo tracing on CUDA
- [Bugfix] Run FlashInfer autotuning before KV cache allocation
- [Benchmark] Support multi-image requests in multimodal samplers
- [vLLM IR] Fixes for Triton implementations
- [Core] Added Sleep 3 -- Keep weights on GPU, discard KV cache and everything else
- [ROCm][DSv4] Share AITER decode dequant + fp8-cast buffers across layers
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