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VL Rethinker 72B Mlx 4bit

Developed by TheCluster
4-bit quantized version of VL-Rethinker-72B, optimized for Apple devices using the MLX framework, supporting visual question answering tasks.
Downloads 14
Release Time : 4/18/2025

Model Overview

This is a 4-bit quantized version based on the TIGER-Lab/VL-Rethinker-72B model, optimized for the MLX framework and suitable for Apple devices. It supports multimodal tasks, particularly visual question answering.

Model Features

4-bit Quantization
The model has undergone 4-bit quantization, reducing memory usage and computational requirements, making it suitable for running on resource-limited devices.
MLX Optimization
Optimized specifically for the MLX framework, it delivers efficient inference performance on Apple devices.
Multimodal Support
Supports multimodal tasks involving vision and language, capable of processing combined inputs of images and text.

Model Capabilities

Visual question answering
Image caption generation
Multimodal reasoning

Use Cases

Education
Image-based Q&A
Students can upload images and ask questions, with the model generating relevant answers.
Enhances learning efficiency and interactivity.
Entertainment
Chatbot
Users can engage in multimodal dialogues with the model, uploading images and discussing their content.
Provides a richer interactive experience.
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