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README.md

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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.