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
- [Gemma4][Bugfix]: add missing get_expert_mapping
- [Test][Bugfix] Fix LRUCache.touch() state corruption and expand test coverage
- [Kernel] Support fused_moe tuning with Kimi-VL-A3B
- Memshare
- [Kernel][MoE] Add A100 tuned config for E=64,N=1408 (Kimi-VL-A3B, GLM-4.5 Air)
- [Feature]: Dynamic PDL Enablement
- [WIP] Support ViT full CUDA graph for Kimi K2.5
- [Model] Add LoRA support for GteNewModel, NomicBertModel, and XLMRobertaModel
- [Bug]: Gemma-4 + DFlash unservable on Ampere — non-causal + head_dim=256 has no compatible attention backend
- [vLLM IR] Port SiluAndMul
- Docs
- Python not yet supported