Nexa On-Device AI Hub Overview
Last updated
Last updated
Nexa AI Hub is an on-device AI model hub that provides over 700 on-device, quantized AI models in the 4 categories (Multimodal, NLP, Computer Vision, & Audio). You can find whatever model you want in Nexa AI On-Device Model Hub, explore models
🎯 Find model that suits best for your device: Filter by model type, file format, parameters, RAM, file size etc.
🛠️ Deploy models that are beyond text: Download and run models on-device with one line of code. Use our Nexa SDK for deploying NLP, Computer Vision, Audio, and Multimodal models locally.
🤝 You are not alone: Share your model and connect with developers, researchers, and users for support and collaboration in our on-device AI community.
Quantization is a technique that reduces the size of AI models, allowing them to run on devices with limited resources like smartphones or embedded systems. It's an area of ongoing research aimed at making AI more accessible on a wider range of devices. Learn more about quantization ↗
When choosing a quantization level, you're balancing three factors: file size, quality, and performance. Higher bit counts (like 4 bits or more) maintain better quality but result in larger files, while lower bit counts reduce the file size but may degrade the model's performance. Your choice should match your hardware's capabilities and the specific demands of your task. If you're unsure, try different quantization levels and see which works best for you.
Remember, always verify the output of any AI model, as it can produce incorrect or biased information. For more help or to join discussions, you can visit our Discord community.
