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README.md

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 # Welcome to GEM Space 🫡
 Greetings from GEM Space, the heart of innovation behind our upcoming paper, "FRAGILE MASTERY: ARE DOMAIN-SPECIFIC TRADE-OFFS UNDERMINING ON-DEVICE LANGUAGE MODELS?". We’re thrilled to invite you into our world of edge AI exploration! This repository, GEM_Testing_Arsenal, is a cornerstone of our efforts to redefine On-Device Language Models (ODLMs) through the Generalized Edge Model (GEM). Keep an eye out for the paper link once it’s published!
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 - **Master the Balance**: Seamlessly blend domain-specific expertise (think healthcare diagnostics or financial analysis) with robust, cross-domain adaptability.
 - **Empower the Edge**: Bring advanced AI to the fingertips of real-world applications, making it fast, practical, and accessible wherever it’s needed.
 
-The **GEM_Testing_Arsenal** embodies this ambition—a testing ground for GEM, our pioneering architecture designed to make ODLMs smarter, leaner, and more versatile. We’re here to push the limits of what’s possible and inspire a new era of edge AI innovation.
-Join the Journey
-We’re building more than models—we’re building a movement. Stay tuned for our paper, explore GEM Space, and join us in shaping the future of on-device intelligence. Reach out at [[email protected] (mailto:[email protected])] with ideas or questions!
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+The [**GEM_Testing_Arsenal**](https://huggingface.co/GEM025/GEM_banking77) embodies this ambition—a testing ground for GEM, our pioneering architecture designed to make ODLMs smarter, leaner, and more versatile. We’re here to push the limits of what’s possible and inspire a new era of edge AI innovation.