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- README.md +36 -0
- tokenizer.model +3 -0
- training_args.bin +3 -0
.gitattributes
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README.md
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---
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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---
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# CuMo Model Card
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## Model details
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**Model type:**
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CuMo-7B is based on [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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**Model date:**
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LLaVA-v1.6-Mistral-7B was trained in December 2023.
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**Paper or resources for more information:**
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https://llava-vl.github.io/
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## License
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[mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) license.
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**Where to send questions or comments about the model:**
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https://github.com/haotian-liu/LLaVA/issues
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## Intended use
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**Primary intended uses:**
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The primary use of LLaVA 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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- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
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- 158K GPT-generated multimodal instruction-following data.
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- 500K academic-task-oriented VQA data mixture.
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- 50K GPT-4V data mixture.
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- 40K ShareGPT data.
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## Evaluation dataset
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A collection of 12 benchmarks, including 5 academic VQA benchmarks and 7 recent benchmarks specifically proposed for instruction-following LMMs.
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 493443
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 7608
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