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@@ -93,6 +93,14 @@ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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  OceanGPT is trained based on the open-sourced large language models including [Qwen](https://huggingface.co/Qwen), [MiniCPM](https://huggingface.co/collections/openbmb/minicpm-2b-65d48bf958302b9fd25b698f), [LLaMA](https://huggingface.co/meta-llama). Thanks for their great contributions!
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  ### 🚩Citation
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  OceanGPT is trained based on the open-sourced large language models including [Qwen](https://huggingface.co/Qwen), [MiniCPM](https://huggingface.co/collections/openbmb/minicpm-2b-65d48bf958302b9fd25b698f), [LLaMA](https://huggingface.co/meta-llama). Thanks for their great contributions!
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+ ## Limitations
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+ - The model may have hallucination issues.
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+ - We did not optimize the identity and the model may generate identity information similar to that of Qwen/MiniCPM/LLaMA/GPT series models.
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+ - The model's output is influenced by prompt tokens, which may result in inconsistent results across multiple attempts.
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  ### 🚩Citation
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