Abstract
While large-scale universal models have demonstrated impressive performance, in many domains, the distribution of language and subtle differences in specific languages require models fine-tuned or specifically trained for particular domains. Therefore, we have trained a Financial Model . tailored for the finance domain, outperforming Llama 2 70B in financial tasks.



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