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+ ---
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+ datasets:
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+ - msaad02/formatted-ss-cleaned-brockport-qa
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # BrockportGPT LLaMA2 Finetune
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+
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+ > This is a quantized version of the original model, found at "msaad02/llama2_7b_brockportgpt"
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+
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+ This model is part of my thesis to make a question-answering bot for SUNY Brockport. The data used for finetuning is a subset of the question database I generated, and is also available on my huggingface account.
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+
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+ For more information, see my [github repo](https://github.com/msaad02/honors-thesis) for the project.
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+
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+ ## Examples
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+
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+ >Are SAT scores required?
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+ >>SAT scores are not required for admission, but test scores are used as part of Brockport's holistic review process to make admissions decisions.
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+
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+ >Who can I contact for help with financial aid?
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+ >>You can contact the financial aid office at SUNY Brockport for assistance with financial aid. They are available to answer any questions and help you navigate the financial aid process.
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+
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+
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+ ## Prompting
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+
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+ This prompting style is what was used for finetuning:
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+
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+ >Below is an inquiry related to SUNY Brockport - from academics, admissions, and faculty support to student life. Prioritize accuracy and brevity.
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+ >
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+ >\### Instruction:\
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+ >{question}
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+ >
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+ >\### Response:\
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+ >{response}
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+
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+ ## Usage
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+
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+ To run this model, I suggest using the following code to load the model in 4-bit and build a pipeline, which implements the correct prompt formatting