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README.md
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@@ -13,7 +13,7 @@ llava-siglip-internlm2-1_8b-pretrain-v1 is a LLaVA checkpoint finetuned from [in
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The total size of the model is around 2.2B, which is suitable for embedded applications like robotics. This model performs slightly better than [llava-clip-internlm2-1_8b-v1](https://huggingface.co/StarCycle/llava-clip-internlm2-1_8b-v1).
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#### By the way, it's also stronger than MiniCPM-V in the test split on MMBench.
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I have not carefully tune the hyperparameters during training. If you have any idea to improve it, please open an issue or just send an email to zhuohengli@foxmail.com. You are welcomed!
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The total size of the model is around 2.2B, which is suitable for embedded applications like robotics. This model performs slightly better than [llava-clip-internlm2-1_8b-v1](https://huggingface.co/StarCycle/llava-clip-internlm2-1_8b-v1).
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#### By the way, it's also stronger than MiniCPM-V in the test split on MMBench, with vert basic datasets and network design. Our model size is also smaller.
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I have not carefully tune the hyperparameters during training. If you have any idea to improve it, please open an issue or just send an email to zhuohengli@foxmail.com. You are welcomed!
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