Ovis

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Ovis is an Open Source & Models tool that provides a novel Multimodal Large Language Model (MLLM) architecture. It is designed to structurally align visual and textual embeddings, offering advanced reasoning capabilities and multi-image processing.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Ovis?

Ovis (Open VISion) is an innovative Multimodal Large Language Model (MLLM) architecture available as an open-source project on GitHub. It is specifically designed to structurally align visual and textual embeddings, enabling advanced multimodal understanding and generation. Key features include native-resolution visual perception, enhanced reflective reasoning (thinking mode), and leading performance across STEM, chart analysis, grounding, and video understanding. Ovis supports various model sizes, from 2B to 34B parameters, and offers quantized versions for optimized deployment. It provides comprehensive installation and inference instructions, including examples for both transformers and vLLM, and supports fine-tuning with in-repo code or ms-swift.

Best used for

Ideal for researchers and developers who need to build advanced multimodal AI models, perform complex chart analysis, and enable reflective reasoning in AI agents. Especially valuable for those exploring unified multimodal models and requiring high-resolution image processing capabilities.

Common actions

develop multimodal models

align visual embeddings

align textual embeddings

perform multimodal reasoning

process multi-image data

understand video content

automated workflowcollaborationopen-sourceworkflowsdeepfakelow-code/no-codegithub copilotface swapping"AI Agents"

Capabilities

Key features

Multimodal LLM architecture
Visual-textual embedding alignment
Reflective reasoning
Multi-image processing
Video understanding
Quantized model versions
Fine-tuning capabilities

Target Audience

professordeveloperresearcherengineer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the key advancements in Ovis2.5?

Ovis2.5 introduces native-resolution visual perception, enhanced reflective reasoning through its 'thinking mode', and achieves leading performance in STEM, chart analysis, grounding, and video understanding. It also offers various model sizes and quantized versions for improved efficiency.

How can I fine-tune Ovis models for my specific dataset?

Ovis models can be fine-tuned using either the provided training code within the repository or through ms-swift, a flexible training framework for LLMs. The repository includes example training scripts and details on data format requirements.

Does Ovis support multi-image and video processing?

Yes, Ovis is designed with advanced capabilities for both multi-image and video processing. Inference examples demonstrate how to handle these inputs, along with single-image and pure-text inputs, showcasing its multimodal versatility.

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Research & Education › Academic Research AI Agents & Automation › AI Frameworks & Infra

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