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Llama 3.2 Vision Instruct Bpmncoder
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Llama 3.2 Vision Instruct Bpmncoder

Developed by utkarshkingh
Llama 3.2 11B vision instruction fine-tuned model optimized with Unsloth, using 4-bit quantization technology, achieving 2x faster training speed
Text-to-Image
Transformers
 EnglishOpen Source License:Apache-2.0#Visual Instruction Fine-tuning#4-bit Quantized Inference#Unsloth Acceleration
Downloads 40
Release Time : 3/23/2025

Model Overview

This is a fine-tuned multimodal language model supporting vision and text instruction understanding and generation, suitable for multimodal interaction scenarios

Model Features

Efficient Training Optimization
Optimized with Unsloth framework, achieving 2x faster training speed
4-bit Quantization Technology
Uses BNB 4-bit quantization to reduce GPU memory requirements
Multimodal Support
Supports understanding and generation of both visual and text instructions

Model Capabilities

Multimodal instruction understanding
Text generation
Visual content analysis
Reasoning task processing

Use Cases

Intelligent Assistant
Multimodal Dialogue System
Handles complex user queries containing both images and text
Provides comprehensive responses combining visual and textual information
Content Generation
Image-Text Content Creation
Generates relevant textual descriptions based on visual input
Automatically produces high-quality image-text matching content
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