T

Tinyllava 1.1b V0.1

Developed by TitanML
A lightweight visual question answering model based on TinyLlama-1.1B, trained using the BakLlava codebase, supporting image content understanding and question-answering tasks.
Downloads 27
Release Time : 6/13/2024

Model Overview

This is a multimodal model combining vision and language capabilities, capable of understanding image content and answering related questions. Suitable for application scenarios requiring image understanding and interactive question-answering.

Model Features

Lightweight Architecture
Based on the 1.1B-parameter TinyLlama model, reducing computational resource requirements while maintaining performance.
Multimodal Understanding
Capable of processing both image and text inputs, understanding image content, and generating relevant responses.
Open-source License
Released under the Apache 2.0 license, permitting commercial and research use.

Model Capabilities

Image content understanding
Visual question answering
Multimodal reasoning

Use Cases

Content Understanding
Image Caption Generation
Analyze input images and generate descriptive text
Can accurately identify common objects and scenes
Interactive Applications
Intelligent Customer Service
Answer user queries about product images
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase