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Llava V1.5 13b Dpo Gguf
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Llava V1.5 13b Dpo Gguf

Developed by antiven0m
LLaVA-v1.5-13B-DPO is a vision-language model based on the LLaVA framework, trained with Direct Preference Optimization (DPO) and converted to GGUF quantized format to improve inference efficiency.
Image-to-Text#Multimodal Dialogue#Visual Language Understanding#GGUF Quantization
Downloads 30
Release Time : 2/10/2024

Model Overview

This model combines visual and language understanding capabilities, capable of processing image and text inputs to generate text responses, suitable for multimodal interaction scenarios.

Model Features

Multimodal Understanding
Capable of processing both image and text inputs, understanding visual content and generating relevant text responses
DPO Optimization
Trained with Direct Preference Optimization, improving output quality and alignment with human preferences
GGUF Quantization
Converted to GGUF format, optimizing model size and inference efficiency for deployment in resource-constrained environments
Visual Question Answering
Capable of answering complex questions about image content and conducting in-depth analysis

Model Capabilities

Image Understanding
Visual Question Answering
Multimodal Dialogue
Image Caption Generation
Visual Reasoning

Use Cases

Intelligent Assistants
Visual Assistance Q&A
Users upload images and ask related questions, and the model provides accurate visual responses
Enhances the naturalness and efficiency of human-computer interaction
Content Understanding
Image Content Analysis
Automatically analyzes image content and generates descriptive text
Can be used for image retrieval, content moderation, and other scenarios
Education
Visual Learning Assistance
Helps students understand charts and visual content in educational materials
Enhances learning experience and depth of understanding
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