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Llama 3.2 11B Vision Radiology Mini
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Llama 3.2 11B Vision Radiology Mini

Developed by p4rzvl
This is a multimodal model based on the Llama architecture, supporting vision and text instructions, optimized with 4-bit quantization.
Image-to-Text
Safetensors
#Multimodal Instruction Fine-tuning#4-bit Quantization Efficient Inference#Vision-Language Understanding
Downloads 69
Release Time : 4/17/2025

Model Overview

This model combines vision and language understanding capabilities, capable of handling image-to-text conversion tasks, suitable for multimodal interaction scenarios.

Model Features

Multimodal Support
Capable of processing both visual and textual inputs to achieve image-to-text conversion.
4-bit Quantization Optimization
Reduces model size and computational resource requirements through 4-bit quantization technology.
Instruction Following
Able to understand and execute complex instructions based on vision and text.

Model Capabilities

Image understanding
Text generation
Multimodal reasoning
Instruction following

Use Cases

Multimodal Interaction
Image Caption Generation
Generate detailed textual descriptions based on input images.
Visual Question Answering
Answer natural language questions about image content.
Content Creation
Image-to-Text Content Generation
Generate related textual content based on images, such as social media posts or articles.
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