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Ola Image

Developed by THUdyh
Ola-7B is a multimodal language model jointly developed by Tencent, Tsinghua University, and Nanyang Technological University, based on the Qwen2.5 architecture. It supports processing image, video, audio, and text inputs and outputs text.
Downloads 61
Release Time : 2/20/2025

Model Overview

Ola-7B is an omnimodal language model capable of seamlessly processing visual inputs of arbitrary spatial dimensions and temporal lengths, supporting joint understanding and generation of multiple modalities.

Model Features

Omnimodal processing capability
Supports joint processing and understanding of multiple modalities including images, videos, audio, and text
Long-context support
32K token context window suitable for processing long sequence inputs
Efficient visual processing
Utilizes progressive modality alignment technology to efficiently process visual inputs of arbitrary dimensions

Model Capabilities

Image understanding
Video understanding
Audio understanding
Text generation
Multimodal joint reasoning

Use Cases

Multimedia content understanding
Video content analysis
Analyze video content and generate descriptive text
Visual question answering
Answer questions based on image content
Cross-modal generation
Audio caption generation
Generate textual descriptions based on audio content
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