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A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility…
Intel XPU AI Demos: AI demonstration notebooks for Intel Arc Pro B-series GPUs (B50 16GB / B60 24GB / B70 32GB). Each demo is a self-contained notebook that sho…
This project contains a set of plugins for PyTorch* ecosystem libraries which enable hardware acceleration on Intel® GPUs thru the XPU PyTorch* device backend.
MFD Connect is a versatile module that supports SSH, RPyC, and other connection types for executing commands on remote machines, offering features like process …
An advanced tool leveraging LLM and RAG technology to empower faculty with curriculum building, teaching support, and personalized learning experiences.
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime