AdaptLLM
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remote-sensing-Qwen2.5-VL-3B-Instruct

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text-generation-inference

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AdaptLLM commited on Jul 6

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@@ -121,7 +121,7 @@ Please refer to the [remote-sensing-VQA-benchmark](https://huggingface.co/datase
 ## 3. To Reproduce this Domain-Adapted MLLM
-Using our training data, [biomed-visual-instructions](https://huggingface.co/datasets/AdaptLLM/remote-sensing-visual-instructions), you can easily reproduce our models based on the [LlamaFactory](https://github.com/hiyouga/LLaMA-Factory) repository.
 For reference, we train from Qwen2.5-VL-3B-Instruct for 1 epoch with a learning rate of 1e-5, and a global batch size of 128.

 ## 3. To Reproduce this Domain-Adapted MLLM
+Using our training data, [remote-sensing-visual-instructions](https://huggingface.co/datasets/AdaptLLM/remote-sensing-visual-instructions), you can easily reproduce our models based on the [LlamaFactory](https://github.com/hiyouga/LLaMA-Factory) repository.
 For reference, we train from Qwen2.5-VL-3B-Instruct for 1 epoch with a learning rate of 1e-5, and a global batch size of 128.