DeepSeek R1 is a powerful, open-source language model focused on advanced reasoning. It uses a unique RL-driven approach and a 671B MoE architecture to achieve state-of-the-art results, outperforming comparable models on various benchmarks.
Hey Guys,
DeepSeek launched DeepSeek R1, a major step forward for open-source reasoning in large language models!
Key Highlights:
🧠 RL-Driven Reasoning: DeepSeek R1 pioneers a unique approach, applying reinforcement learning directly to the base model without prior supervised fine-tuning.
🚀 Powerful Architecture: Features a robust 671B parameter MoE architecture with 37B activated.
🔥 High-Performing Distilled Models: Including a Qwen-32B variant that outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
✅ Open Source: DeepSeek has generously open-sourced both the main model and several smaller distilled models.
🥇 Superior Performance: Outperforms comparable models on math, code, and reasoning benchmarks.
You can directly experience DeepSeek R1 by visiting DeepSeek's chat page and enabling the "DeepThink" option.
For developers looking to dive deeper, you can find the DeepSeek R1 model (and other distilled models based on R1), code on GitHub & HuggingFace.
Excited to see what the community builds with this powerful new tool!
