# Edge Computing Optimization

Quantized version of Devstral-Small-2505, offering multiple precision options to adapt to different hardware requirements

This is a very compact and fast Japanese reranking model, suitable for improving the accuracy of RAG systems and can run efficiently on CPUs or edge devices.

Glm-Edge-V-5B-GGUF is a multilingual image-text generation model supporting Chinese and English, developed based on the GLM architecture.

This is an OpenVINO-optimized version converted from MIT/ast-finetuned-speech-commands-v2, designed to accelerate inference operations for voice command recognition tasks.