# Low video memory usage

Jan Nano is a small language model fine - tuned based on the Qwen3 architecture, designed for local and embedded environments, combining efficiency and long - context processing capabilities.

The Nunchaku-quantized FLUX.1-schnell model is used to generate high-quality images based on text prompts and has been optimized for efficient inference.

This is a model that uses the GPTQ method to perform 4-bit quantization on GLM-4-32B-0414, suitable for consumer-grade hardware.

Qwen2.5-VL-7B-Instruct-GPTQ-Int4 is an unofficial GPTQ-Int4 quantized version based on the Qwen2.5-VL-7B-Instruct model, supporting multimodal tasks from image-text to text.

A 4-bit quantized version based on the Mistral community's Pixtral-12B, focusing on image text-to-text tasks and supporting Chinese description generation.