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Qwen2.5 VL 3B Instruct MLX 8bits

Developed by moot20
This is an 8-bit quantized version of the Qwen2.5-VL-3B-Instruct model, optimized for the MLX framework and supports image-text generation tasks.
Downloads 27
Release Time : 2/1/2025

Model Overview

This model is a multimodal model capable of generating relevant text descriptions based on input images, suitable for vision-language tasks.

Model Features

Multimodal Support
Capable of processing both image and text inputs to generate relevant text descriptions.
8-bit Quantization
Reduces model size and computational resource requirements through 8-bit quantization while maintaining high performance.
MLX Framework Optimization
Optimized for the MLX framework, enabling efficient operation on MLX-supported devices.

Model Capabilities

Image-Text Generation
Multimodal Understanding
Vision-Language Task Processing

Use Cases

Image Caption Generation
Automatic Image Tagging
Generates detailed text descriptions for images, suitable for content management and retrieval.
Produces accurate and relevant image captions.
Visual Question Answering
Image Content Q&A
Answers questions based on image content.
Provides accurate answers related to image content.
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