Trillion LLaVA 7B

🚀 Trillion-LLaVA-7B

A Vision Language Model (VLM) capable of understanding images, demonstrating strong multilingual visual reasoning performance.

🚀 Quick Start

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✨ Features

• We introduce Trillion-LLaVA-7B, a Vision Language Model (VLM) capable of understanding images.
• To better observe the transfer of multilinguality in vision tasks under controlled conditions, we adopted the same dataset, two - stage training strategy, and model architecture as LLaVA.
• While Trillion-7B-preview-vision was trained exclusively on English vision - language instruction pairs, the model is able to demonstrate strong performance on Korean visual reasoning tasks.
• The model’s robust multilingual foundation enables the effective transfer of visual reasoning capabilities across languages without requiring language - specific visual training data.

📚 Documentation

Evaluation

Performance comparison (English, Korean) across different vision - language models

Limitations

• Lack of training on multilingual visual instruction tuning data: The model was trained exclusive on English vision - language pairs, which leaves room for improvement on other language pairs.
• The model inherits the limitations of Trillion - 7B - preview, since no additional training was done except on vision language understanding data.

📄 License

This model repository is licensed under the Apache - 2.0 License.