... Settings AI Optimization. Pick Auto, CPU, or GPU (CUDA). Real integration with the turboquant-gpu library. The GPU backend runs cuTile fused kernels for the full 2-bit / 3-bit KV compression path. The CPU backend uses a PyTorch fallback with physical-core thread pinning and MKLDNN acceleration. Live-measured compression ratios in the UI. No more static lookup tables you see the actual compression your backend produced on the last request. Graceful fallback everywhere. Missing CUDA? Falls back ... ... Missing cuTile kernels? Falls back to PyTorch

... Hunt! I m Purusottam, the creator of Medini Intelligence Medini Intelligence is an open-source AI model built for text generation, research assistance, and knowledge automation designed to be transparent, ethical, and developer-friendly. It s powered by Transformers, PyTorch, and Gradio, running on Hugging Face Spaces for easy access and experimentation. Our goal is to make responsible, explainable AI accessible to everyone from developers and researchers to educators and startups. Try it out: [Hugging Face Space link] Tech Stack ... ... Transformers PyTorch

... started testing Watchflow s rule engine across some of the most active GitHub repositories: vscode langchain react pytorch