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VL Rethinker 7B Mlx 4bit
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VL Rethinker 7B Mlx 4bit

Developed by TheCluster
VL-Rethinker-7B 4-bit MLX Quantized Version is a quantized variant of the TIGER-Lab/VL-Rethinker-7B model, optimized for Apple devices and supporting visual question-answering tasks.
Text-to-Image
Safetensors
 EnglishOpen Source License:Apache-2.0#Apple chip optimization#Multimodal Q&A#4-bit low-precision inference
Downloads 14
Release Time : 4/18/2025

Model Overview

This model is a multimodal vision-language model that supports English visual question-answering tasks, optimized for efficiency on Apple devices through 4-bit quantization technology.

Model Features

4-bit Quantization
Optimizes model size and operational efficiency through 4-bit quantization technology, suitable for running on resource-limited devices.
Apple Device Optimization
Specifically optimized for Apple devices, running on the MLX framework for better performance and compatibility.
Multimodal Support
Supports multimodal inputs of vision and language, capable of handling complex visual question-answering tasks.

Model Capabilities

Visual Question Answering
Image Caption Generation
Multimodal Reasoning

Use Cases

Education
Image Understanding Teaching
Used in educational settings to help students understand image content by generating detailed image descriptions.
Enhances students' ability to comprehend image content.
Research
Multimodal Research
Used to study the performance and application scenarios of models combining vision and language.
Advances research progress in multimodal models.
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