Fin-R1
Large models for financial inference driven by reinforcement learning.
Product Details
Fin-R1 is a large-scale language model designed specifically for the financial field to improve financial reasoning capabilities. Jointly developed by Shanghai University of Finance and Economics and Caiyue Xingchen, it is based on Qwen2.5-7B-Instruct for fine-tuning and reinforcement learning. It has efficient financial reasoning capabilities and is suitable for core financial scenarios such as banks and securities. The model is free and open source, making it easy for users to use and improve.
Main Features
How to Use
Target Users
This product is suitable for financial professionals, investors and financial institutions because it can effectively improve the accuracy and efficiency of financial decision-making and meet the needs of high-quality financial reasoning.
Examples
Bank risk assessment system: Credit risk assessment through the Fin-R1 model.
Securities Market Analysis Tools: Use models for stock market trend analysis.
Compliance audit assistant: Helps companies establish compliance management systems and conduct regular inspections.
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