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Deep Seek R1 features a user-friendly web interface and is also compatible with platforms like Hugging Face. Alternatively, users can install it locally, though the full model requires significant computational resources. The 7-billion parameter model available for download is manageable, but leveraging the full potential of the 671 billion parameter version will demand advanced hardware.
What sets Deep Seek R1 apart fundamentally is its lack of reliance on supervised fine-tuning. Instead, it employs direct reinforcement learning, where the model learns autonomously by trial and error rather than following pre-set solutions. This self-reinforcement process mirrors human reasoning capabilities more closely than traditional training methods.