YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

CoLVR: Enhancing Exploratory Latent Visual Reasoning via Contrastive Optimization

Ziyang Ding, Linjian Meng, Yiming Wu, Yuhan Li, Yuhao Liu, Zhen Zhao†,

Paper PDF GitHub: CoLVR HF Model: CoLVR-Models HF Dataset: CoLVR-datasets

CoLVR (Contrastive Optimization for Latent Visual Reasoning) enables flexible and exploratory visual reasoning through latent contrastive training.

Overview

CoLVR-Tertis is our released model checkpoint for latent visual reasoning on the Tertis task. Training and evaluation code is available in our GitHub repository.

Downloads last month
-
Safetensors
Model size
8B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including Oscar-dzy/CoLVR-Tertis

Paper for Oscar-dzy/CoLVR-Tertis