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Wexler/llawma-fact-enrich
llawma-fact-enrich is a text generation model from Wexler. Use it when you need the model to write or continue text. It is set up for transformers.
Fine-tuned Mistral-7b model for the fact enrich task defined as follows:
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From the Hugging Face model README
Fine-tuned Mistral-7b model for the fact enrich task defined as follows:
Given input source text describing a fact, taken from a document, for example: About $1.75 billion of Enron's $3.5 billion in syndicated bank loans come due in May 2002 and will likely need to be restructured.
Dataset contains the following fields extracted about that fact:
{
"description": "Enron's $1.75 billion syndicated bank loans due in May 2002 likely need restructuring",
"topic": "Enron's Syndicated Bank Loan Restructuring",
"subject": "Enron",
"date_of_event": "May 2002"
}