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  ## Model Details
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  Jellyfish-7B is a large language model equipped with 7 billion parameters.
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  We fine-tuned the [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) model using
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- apart of the [Jellyfish-Instruct](https://huggingface.co/datasets/NECOUDBFM/Jellyfish-Instruct)
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  Jellyfish-7B vs GPT-3.5-turbo wining rate by GPT4 evaluation is 56.36%.
 
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  ## Model Details
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  Jellyfish-7B is a large language model equipped with 7 billion parameters.
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  We fine-tuned the [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) model using
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+ a subset of the [Jellyfish-Instruct](https://huggingface.co/datasets/NECOUDBFM/Jellyfish-Instruct)
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  Jellyfish-7B vs GPT-3.5-turbo wining rate by GPT4 evaluation is 56.36%.