CoolFace
Modelpublic

THUdyh/Insight-V-Reason

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
10likes64downloads
Model Card

Insight-V-Reason

Model Summary

The Insight-V models are 7B parameter models based on Qwen2.5 language model with a context window of 32K tokens.

Insight-V offers 1) a scalable data generation pipeline for long-chain, high-quality reasoning data, 2) a multi-agent system that decomposes visual reasoning tasks into reasoning and summarization, and 3) a two-stage training pipeline to enhance visual reasoning capabilities. Together, these contributions address key challenges in visual reasoning, providing a solid foundation for future research in MLLM reasoning.

  • —Repository: https://github.com/dongyh20/Insight-V
  • —Languages: English, Chinese
  • —Paper: https://arxiv.org/abs/2411.14432

Model Architecture

  • —Architecture: Pre-trained Oryx-ViT + Qwen2.5-7B
  • —Data: a mixture of 200k reasoning data
  • —Precision: BFloat16
Hardware & Software
  • —Hardware: 64 * NVIDIA Tesla A100
  • —Orchestration: HuggingFace Trainer
  • —Code: Pytorch

Citation