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
- [Kernel][MoE] Add A100 tuned config for E=64,N=1408 (Kimi-VL-A3B, GLM-4.5 Air)
- [Feature]: Dynamic PDL Enablement
- [Perf] Gemma4: output int64 from fused routing kernel to avoid redundant dtype copy
- [Bugfix] Skip tool parsing when no tools are provided, add unified Mistral parser
- [MM][Gemma4] Support `max_soft_tokens="auto"` to avoid wasting the vision budget on small images
- Gfx1250 wip rebase test
- [WIP] Support ViT full CUDA graph for Kimi K2.5
- docs: remove outdated LD_PRELOAD instructions [CPU-Backend]
- [Model] Add LoRA support for GteNewModel, NomicBertModel, and XLMRobertaModel
- [quant][autoround]Refactor INC quantization into package with INCScheme orchestrator
- Docs
- Python not yet supported