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README.md
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### Vision Foundation model
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| Model | Date | Download | Note |
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| InternViT-6B-448px-V1
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| InternViT-6B-448px-V1
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| InternViT-6B-448px-V1
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| InternViT-6B-224px | 2023.12.22 | π€ [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-224px) | vision foundation model |
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| InternVL-14B-224px | 2023.12.22 | π€ [HF link](https://huggingface.co/OpenGVLab/InternVL-14B-224px) | vision-language foundation model |
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### Multimodal Large Language Model (MLLM)
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| Model | Date | Download | Note |
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| ----------------------- | ---------- | --------------------------------------------------------------------------- | ---------------------------------- |
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| InternVL-Chat-V1
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| InternVL-Chat-V1
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| InternVL-Chat-V1
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| InternVL-Chat-V1
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## Model Usage (Image Embeddings)
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### Vision Foundation model
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| Model | Date | Download | Note |
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| ----------------------- | ---------- | ---------------------------------------------------------------------- | -------------------------------- |
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| InternViT-6B-448px-V1-5 | 2024.04.20 | π€ [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-5) | support dynamic resolution, super strong OCR (π₯new) |
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| InternViT-6B-448px-V1-2 | 2024.02.11 | π€ [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2) | 448 resolution |
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| InternViT-6B-448px-V1-0 | 2024.01.30 | π€ [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0) | 448 resolution |
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| InternViT-6B-224px | 2023.12.22 | π€ [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-224px) | vision foundation model |
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| InternVL-14B-224px | 2023.12.22 | π€ [HF link](https://huggingface.co/OpenGVLab/InternVL-14B-224px) | vision-language foundation model |
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### Multimodal Large Language Model (MLLM)
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| Model | Date | Download | Note |
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| ----------------------- | ---------- | --------------------------------------------------------------------------- | ---------------------------------- |
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| InternVL-Chat-V1-5 | 2024.04.18 | π€ [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5) | support 4K image; super strong OCR; Approaching the performance of GPT-4V and Gemini Pro on various benchmarks like MMMU, DocVQA, ChartQA, MathVista, etc. (π₯new)|
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| InternVL-Chat-V1-2-Plus | 2024.02.21 | π€ [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2-Plus) | more SFT data and stronger |
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| InternVL-Chat-V1-2 | 2024.02.11 | π€ [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) | scaling up LLM to 34B |
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| InternVL-Chat-V1-1 | 2024.01.24 | π€ [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1) | support Chinese and stronger OCR |
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## Model Usage (Image Embeddings)
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