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Eagle2 1B

Developed by nvidia
Eagle 2 is a high-performance vision-language model family that focuses on transparency in data strategies and training schemes, aiming to drive the open-source community in developing competitive vision-language models.
Downloads 1,791
Release Time : 1/10/2025

Model Overview

Eagle 2-1B is a compact and efficient vision-language model designed for scenarios requiring fast inference and minimal computational resources while maintaining core performance.

Model Features

Efficient Performance
Maintains competitive performance comparable to larger models despite its compact 1B parameter scale.
Multilingual Support
Supports vision-language understanding tasks in multiple languages.
Long Context Handling
Supports context lengths of up to 16K, suitable for complex tasks.
Transparent Data Strategy
Emphasizes transparency in data strategies for easy reproducibility and innovation.

Model Capabilities

Vision-Language Understanding
Image Text Generation
Multimodal Reasoning
Document Understanding
Chart Analysis

Use Cases

Document Processing
DocVQA
Document Visual Question Answering
Test set accuracy 81.8
Chart Analysis
ChartQA
Chart Question Answering
Test set accuracy 77.0
Visual Question Answering
TextVQA
Text Visual Question Answering
Validation set accuracy 76.6
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