chenlin
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Add model files
Browse files- .gitattributes +1 -0
- README.md +35 -1
- config.json +3 -0
- generation_config.json +3 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +3 -0
- special_tokens_map.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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inference: false
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---
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<br>
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<br>
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# ShareGPT4V-7B Model Card
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## Model details
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**Model type:**
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ShareGPT4V-7B is an open-source chatbot trained by fine-tuning CLP vision tower and LLaMA/Vicuna on GPT4-Vision-assisted [ShareGPT4V](https://huggingface.co/datasets/Lin-Chen/ShareGPT4V) data and LLaVA instruction-tuning data.
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**Model date:**
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ShareGPT4V-7B was trained in Nov 2023.
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**Paper or resources for more information:**
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[[Project](https://ShareGPT4V.github.io/)] [[Paper](https://huggingface.co/papers/2311.12793)] [[Code](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V)]
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## License
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Llama 2 is licensed under the LLAMA 2 Community License,
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Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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## Intended use
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**Primary intended uses:**
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The primary use of ShareGPT4V-7B is research on large multimodal models and chatbots.
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**Primary intended users:**
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The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
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## Training dataset
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- 1.2M high-quality image-text pairs, i.e., ShareGPT4V-PT data
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- 100K GPT4-Vision-generated image-text pairs
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- LLaVA instruction-tuning data
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## Evaluation dataset
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A collection of 11 benchmarks
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config.json
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generation_config.json
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pytorch_model-00001-of-00002.bin
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pytorch_model-00002-of-00002.bin
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pytorch_model.bin.index.json
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version https://git-lfs.github.com/spec/v1
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special_tokens_map.json
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version https://git-lfs.github.com/spec/v1
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 499723
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tokenizer_config.json
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version https://git-lfs.github.com/spec/v1
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size 749
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