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Ola 7b

Developed by THUdyh
Ola-7B is a multimodal large language model jointly developed by Tencent, Tsinghua University, and Nanyang Technological University. Based on the Qwen2.5 architecture, it supports processing text, image, video, and audio inputs and generates text outputs.
Downloads 1,020
Release Time : 1/25/2025

Model Overview

Ola-7B is a multimodal large language model capable of simultaneously processing image/video, text, and audio inputs and outputting text. It provides an on-demand solution that can seamlessly and efficiently handle visual inputs of arbitrary spatial dimensions and temporal lengths.

Model Features

Multimodal Processing Capability
Supports simultaneous processing of text, image, video, and audio inputs, enabling cross-modal understanding and interaction.
Large Context Window
Supports a 32K token context window, suitable for handling long texts and multi-turn dialogues.
Efficient Visual Processing
Capable of seamlessly and efficiently processing visual inputs of arbitrary spatial dimensions and temporal lengths.

Model Capabilities

Text Understanding and Generation
Image Understanding
Video Understanding
Speech Understanding
Multimodal Interaction

Use Cases

Intelligent Assistant
Multimodal Dialogue
Provides a richer conversational experience by combining image, video, and voice inputs.
Content Understanding
Video Content Analysis
Analyzes video content and generates descriptive text.
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