DeepSeek R1

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.

DeepSeek R1 is an advanced, open-source language model designed for superior reasoning capabilities. Built on a 671B Mixture of Experts (MoE) architecture, it leverages a unique reinforcement learning (RL) approach to achieve state-of-the-art performance across math, code, and reasoning tasks. Unlike traditional models, DeepSeek-R1-Zero, its precursor, was trained purely through RL without supervised fine-tuning, showcasing groundbreaking reasoning behaviors. DeepSeek R1 further enhances this by incorporating cold-start data, addressing issues like repetition and readability. The model is open-sourced, along with distilled versions (1.5B to 70B), enabling smaller models to inherit powerful reasoning patterns. With benchmarks outperforming leading models like GPT-4, DeepSeek R1 offers a robust tool for researchers and developers, supported by an OpenAI-compatible API and detailed usage recommendations.