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VL Rethinker 7B 6bit
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VL Rethinker 7B 6bit

Developed by mlx-community
This is a multimodal model based on Qwen2.5-VL-7B-Instruct, supporting visual question answering tasks, converted to MLX format for efficient operation on Apple chips.
Text-to-Image
Transformers
 EnglishOpen Source License:Apache-2.0#Multimodal QA#Visual Reasoning#Low-bit Quantization
Downloads 19
Release Time : 4/16/2025

Model Overview

This model is a vision-language model capable of understanding and analyzing image content to answer related questions. It is based on the Qwen2.5 architecture and quantized to 6-bit precision.

Model Features

Multimodal Understanding
Capable of processing both visual and linguistic information to understand image content and answer questions
MLX Optimization
Optimized for Apple chips, enabling efficient operation on Mac devices
Quantized Version
6-bit quantized version reduces memory usage while maintaining performance

Model Capabilities

Image Content Understanding
Visual Question Answering
Multimodal Reasoning

Use Cases

Education
Image Learning Assistance
Helps students understand image content in educational materials
Improves learning efficiency and depth of understanding
Content Moderation
Image Content Analysis
Automatically identifies and analyzes uploaded image content
Enhances content moderation efficiency and accuracy
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