Update README.md

README.md

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 ## Model Overview
 
-DMind-2 is a series of Web3 investment analysis language models specifically designed for edge deployment, dedicated to providing real-time, private, and professional Web3 investment consulting services for individual investors and professional institutions. Standing on the shoulders of numerous open-source pioneers, we have successfully launched three model variants through innovative post-training techniques, enabling users to access institutional-grade investment analysis capabilities on local devices without concerns about data privacy or network latency.
+DMind-2 is a series of Web3 investment analysis language models designed to provide real-time, professional Web3 investment consulting services for individual investors and professional institutions. Standing on the shoulders of numerous open-source pioneers, we have successfully launched three model variants through innovative post-training techniques. Among these, DMind2-mini is specifically optimized for edge deployment, enabling users to access institutional-grade investment analysis capabilities on local devices without concerns about data privacy or network latency.
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 ## Core Positioning
 
-DMind-2 focuses on **edge-side Web3 investment opinion generation, financial consulting services, and comprehensive financial investment computational analysis**, representing the industry's first professional-grade Web3 investment analysis model truly optimized for edge deployment. Through careful model compression and optimization, DMind2-mini runs smoothly with just 4GB of VRAM, allowing every investor to have their own dedicated investment advisor on personal devices.
+DMind-2 focuses on Web3 investment opinion generation, financial consulting services, and comprehensive financial investment computational analysis. The series offers different deployment options to meet diverse user needs:
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+DMind2-mini: Edge deployment for maximum privacy and zero-latency analysis on personal devices
+DMind2-base: Professional trading terminals and workstations
+DMind2-large: Enterprise and institutional deployment
 
 ## Model Variants