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license: apache-2.0
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# MLM-Filter-13b Model Card

## Model details

**Model type:**
LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.

**Model date:**
MLM-Filter-13B was trained in Dec 2023.

**Paper or resources for more information:**
https://mlm-filter.github.io/

## License
Llama 2 is licensed under the LLAMA 2 Community License, 
Copyright (c) Meta Platforms, Inc. All Rights Reserved.

**Where to send questions or comments about the model:**
https://github.com/victorwz/mlm-filter/issues

## Intended use
**Primary intended uses:**
MLM-Filter can be used as a drop-in replacement for CLIPScore in these tasks:

1. Score image-text data in large-scale pre-training dataset and then filter high-quality subsets based on the scores (For training MLLMs or VLMs, please consider to jointly use the Image-Text Matching score and the Object Detail Fulfillment score);

2. Evaluate the image-text alignment for image2text or text2image generation models;

3. Any potential applications with the need to calculate the image-text alignment.


## Training dataset
- 46k instruction sampled from LLaVA-1.5 665k data.
- 4k instructions on image-text data quality assessment tasks ranging across 4 metrics.

## Usage Sample
Please follow the instructions in https://github.com/Victorwz/MLM_Filter.