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Topic: DeepSeek's First-generation Reasoning Models

https://www.ipu.org/sites/default/files/styles/card_image/public/ai_-_brain_banner_1024_x_768_72dpi-01_1.jpg?h\u003dddb1ad0c\u0026itok\u003dEATLRuCr
DeepSeek's first-generation thinking models, achieving performance comparable to OpenAI-o1 across mathematics, code, and thinking tasks.
https://meetrix.io/articles/content/images/2024/01/Meetrix-Deepseek-_-Developer-Guide.png

Models
https://swisscognitive.ch/wp-content/uploads/2020/09/the-4-top-artificial-intelligence-trends-for-2021.jpeg

DeepSeek-R1


Distilled designs


DeepSeek team has actually shown that the thinking patterns of bigger models can be distilled into smaller designs, leading to better efficiency compared to the thinking patterns discovered through RL on little models.


Below are the designs created by means of fine-tuning versus several dense designs widely used in the research community using thinking information created by DeepSeek-R1. The evaluation results demonstrate that the distilled smaller thick models perform extremely well on criteria.
https://redingtongroup.com/cloud/wp-content/uploads/sites/5/2024/09/50-fi.jpg

DeepSeek-R1-Distill-Qwen-1.5 B


DeepSeek-R1-Distill-Qwen-7B


DeepSeek-R1-Distill-Llama-8B


DeepSeek-R1-Distill-Qwen-14B
https://rejolut.com/wp-content/uploads/2024/02/DALL%C2%B7E-2024-02-20-16.55.07-Create-a-wide-banner-image-for-the-topic-_Top-18-Artificial-Intelligence-AI-Applications-in-2024._-This-image-should-visually-represent-a-diverse-ra-1024x585.webp

DeepSeek-R1-Distill-Qwen-32B


DeepSeek-R1-Distill-Llama-70B
https://dotmac.ng/wp-content/uploads/2024/05/GettyImages-1435014643.jpg

License


The design weights are accredited under the MIT License. DeepSeek-R1 series support commercial use, enable for any modifications and acquired works, including, however not limited to, distillation for training other LLMs.

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