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  ## Model Details
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  Jellyfish-8B is a large language model equipped with 8 billion parameters.
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  We fine-tuned the [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) model using the datasets pertinent to data preprocessing tasks.
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- The training data is used a subset of the 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-8B is a large language model equipped with 8 billion parameters.
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  We fine-tuned the [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) model using the datasets pertinent to data preprocessing tasks.
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+ The training data is used 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%. -->
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