Friendly Introduction
Hello everyone! 👋 Welcome to the page for DeepThink-T1-Tuned!
I'm excited to share this model with you all. It's a compact, efficient 2.27B parameter language model designed to bring AI capabilities to environments where larger models can't easily go—like smartphones, IoT devices, and other edge applications.
What makes it special?
· Efficiency First: It's optimized for lower computational needs and faster inference.
· Built for Deployment: Perfect for on-device AI where you need smarts without the cloud.
· Ready for Fine-Tuning: A great starting point if you want to tailor it for your own specific tasks.
This is very much a community-driven project, and your experience and feedback are incredibly valuable.
Have questions, ideas, or run into something interesting?
Please feel free to drop a comment in theCommunity tab below! I'll do my best to react and help out as soon as I can.
A quick note: For general usage questions or cool projects you're building, I'll be very quick to respond. If your question is specifically about the model's training process or the datasets used, I will absolutely see it and respond, but solving those deeper technical puzzles might take a little more time to investigate.
Thank you for checking out DeepThink-T1-Tuned. I can't wait to see what you build with it!
Happy coding! 🚀