lmms-lab / LLaVA-OneVision-1.5-8B-stage0

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Model's Last Updated: September 30 2025

Introduction of LLaVA-OneVision-1.5-8B-stage0

Model Details of LLaVA-OneVision-1.5-8B-stage0

LLaVA-OneVision-1.5-8B Initialization Model Card

🚀 Overview

This model provides an initialization checkpoint for training LLaVA-OneVision-1.5 , designed to combine strong language and vision capabilities. It integrates a powerful LLM and a state-of-the-art vision encoder, with a flexible adapter to enable efficient multimodal learning.

🏗️ Key Components
  • Vision Encoder:
    Uses the pretrained ViT model from DeepGlint-AI/rice-vit-large-patch14-560 to extract rich visual features.

  • Adapter:
    A randomly initialized adapter module with 4× token compression capability, enabling efficient fusion of image and text modalities.

  • Language Model:
    Incorporates the pretrained language model Qwen/Qwen3-8B-Base for robust text understanding and generation.

📝 Usage

This initialization checkpoint is intended for downstream training and fine-tuning. For usage and training scripts, please refer to the EvolvingLMMs-Lab/LLaVA-OneVision-1.5 repository .

📚 References
⚖️ License

Apache 2.0

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https://huggingface.co/lmms-lab/LLaVA-OneVision-1.5-8B-stage0

LLaVA-OneVision-1.5-8B-stage0 install

LLaVA-OneVision-1.5-8B-stage0 is an open source model from GitHub that offers a free installation service, and any user can find LLaVA-OneVision-1.5-8B-stage0 on GitHub to install. At the same time, huggingface.co provides the effect of LLaVA-OneVision-1.5-8B-stage0 install, users can directly use LLaVA-OneVision-1.5-8B-stage0 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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