ModernVBERT
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colmodernvbert-base

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 tags: []
 ---
+# ColModernVBERT
+![bg](https://cdn-uploads.huggingface.co/production/uploads/661e945eebe3616a1b09e279/QfGYAqoq_TGcXRHh6UMaq.png)
+## Usage
+> [!WARNING]
+> This version should not be used: it is solely the base version useful for deterministic LoRA initialization.
+## Table of Contents
+1. [Overview](#overview)
+2. [Usage](#Usage)
+3. [Evaluation](#Evaluation)
+4. [License](#license)
+5. [Citation](#citation)
+## Overview
+The [ModernVBERT](https://arxiv.org/abs/2510.01149) suite is a suite of compact 250M-parameter vision-language encoders, achieving state-of-the-art performance in this size class, matching the performance of models up to 10x larger.
+For more information about ModernVBERT, please check the [arXiv](https://arxiv.org/abs/2510.01149) preprint.
+### Models
+- `ColModernVBERT` is the late-interaction version that is fine-tuned for visual document retrieval tasks, our most performant model on this task.
+- `BiModernVBERT` is the bi-encoder version that is fine-tuned for visual document retrieval tasks.
+- `ModernVBERT-embed` is the bi-encoder version after modality alignment (using a MLM objective) and contrastive learning, without document specialization.
+- `ModernVBERT` is the base model after modality alignment (using a MLM objective).
 ## Evaluation
+![table](https://cdn-uploads.huggingface.co/production/uploads/661e945eebe3616a1b09e279/NLB0bdE8tAAWXnCK6vjjS.png)
+ColModernVBERT matches the performance of models nearly 10x larger on visual document benchmarks. Additionally, it provides an interesting inference speed on CPU compared to the models of similar performance.
+## License
+We release the ModernVBERT model architectures, model weights, and training codebase under the MIT license.
+## Citation
+If you use ModernVBERT in your work, please cite:
+```
+@misc{teiletche2025modernvbertsmallervisualdocument,
+      title={ModernVBERT: Towards Smaller Visual Document Retrievers},
+      author={Paul Teiletche and Quentin Macé and Max Conti and Antonio Loison and Gautier Viaud and Pierre Colombo and Manuel Faysse},
+      year={2025},
+      eprint={2510.01149},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR},
+      url={https://arxiv.org/abs/2510.01149},
+}
+```
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