DeepScaleR-1.5B is an optimized language model designed for long-context problem-solving and reasoning.

Fine-tuned using advanced reinforcement learning techniques, it outperforms its base model with a 15% accuracy improvement and even surpasses OpenAI's O1-Preview, all within just 1.5B parameters.

🔍 What’s inside the blog?
✔️ Step-by-step installation guide for local & cloud deployment
✔️ Hardware recommendations for best performance
✔️ Running DeepScaleR-1.5B with Ollama, Jupyter Notebook, & Open WebUI
✔️ Fine-tuning & inference techniques for custom use cases

We’ve also included detailed benchmarks, multi-GPU scaling strategies, and a complete walkthrough for deploying the model on NodeShift Cloud.

This guide is designed to make it easier than ever to deploy and run DeepScaleR-1.5B for your research and development needs.

Read the full blog here: https://t.co/1tsvCSCimB