llm-jp-3-vila-14b

Maintained By
llm-jp

LLM-JP-3 VILA 14B

PropertyValue
LicenseApache License 2.0
Total Parameters~14B (13B LLM + 428M Vision + 32M Projector)
Model TypeVision-Language Model
Primary LanguageJapanese
ArchitectureSigLIP Vision Encoder + MLP Projector + LLM-JP-3

What is llm-jp-3-vila-14b?

LLM-JP-3 VILA 14B is a sophisticated vision-language model developed by the Research and Development Center for Large Language Models at Japan's National Institute of Informatics. It combines a powerful SigLIP vision encoder with a specialized Japanese language model to enable advanced image understanding and text generation capabilities in Japanese.

Implementation Details

The model architecture consists of three main components: a 428M parameter SigLIP vision encoder, a 32M parameter 2-layer MLP projector, and a 13B parameter Japanese language model. It was trained in three distinct stages using a combination of Japanese and English datasets, including image-text pairs, conversational data, and visual question-answering tasks.

  • Vision Encoder: siglip-so400m-patch14-384
  • Projector: 2-layer MLP architecture
  • Language Model: llm-jp-3-13b-instruct

Core Capabilities

  • Advanced image understanding in Japanese context
  • High-quality Japanese text generation from visual inputs
  • Strong performance on visual question-answering tasks
  • Outperforms existing Japanese VLMs on multiple benchmarks
  • Achieves 57.2% on Heron Bench evaluation

Frequently Asked Questions

Q: What makes this model unique?

This model stands out for its specialized focus on Japanese language processing combined with vision understanding, achieving state-of-the-art performance on Japanese VLM benchmarks. It significantly outperforms other Japanese VLMs like Japanese Stable VLM and Japanese InstructBLIP Alpha.

Q: What are the recommended use cases?

The model is well-suited for Japanese image description generation, visual question answering, and general image understanding tasks in Japanese context. It's particularly effective for applications requiring detailed image analysis and natural Japanese language output.

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