release Finedefics

README.md

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+# Finedefics Model Card
+
+## Model details
+
+**Model type:**
+Finedefics is an open-source MLLM that enhances the model's FGVR capability by incorporating informative attribute descriptions of objects into the training phase.
+It is an auto-regressive language model, based on the transformer architecture.
+Base MLLM: [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b)
+
+**Paper or resources for more information:**
+OpenReview: https://openreview.net/forum?id=p3NKpom1VL
+Arxiv: https://arxiv.org/abs/2501.15140
+
+## License
+Idefics2 is licensed under the Apache 2.0 license, and we release the Finedefics checkpoints under the same license.
+
+**Where to send questions or comments about the model:**
+https://github.com/PKU-ICST-MIPL/Finedefics_ICLR2025/issues
+
+## Intended use
+**Primary intended uses:**
+The primary use of Finedefics is research on Fine-grained MLLM.
+
+**Primary intended users:**
+The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
+
+## Training and evaluation datasets
+A collection of 6 fine-grained visual recognition datasets, including Stanford Dog-120, Bird-200, FGVC-Aircraft, Flower-102, Oxford-IIIT Pet-37, and Stanford Car-196.