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(https://i.insider.com/6797ebb87bb3f854015a85c6?width\u003d1200\u0026format\u003djpeg)
DeepSeek's first-generation (http://www.zjzhcn.com/) reasoning designs, attaining efficiency equivalent to OpenAI-o1 across math, code, and thinking tasks (https://oloshodate.com/).
(https://m.foolcdn.com/media/dubs/images/what-is-artificial-intelligence-infographic.width-880.png)

Models
(https://cdn.analyticsvidhya.com/wp-content/uploads/2024/12/DeepSeek-1.webp)

DeepSeek-R1


Distilled (https://www.loretz-coaching.at/) models
(https://redingtongroup.com/cloud/wp-content/uploads/sites/5/2024/09/50-fi.jpg)

DeepSeek team has shown that the thinking patterns (http://spanishbitranch.com/) of larger models can be distilled (http://xn--9r2b13phzdq9r.com/) into smaller models, leading to better efficiency compared (https://induchem-eg.com/) to the thinking (https://sushi-ozawa.com/) patterns (https://feteops.com/) found through RL on small models.


Below are the designs developed through fine-tuning (https://twoplustwoequal.com/) against numerous dense (http://kgsworringen.de/) designs commonly utilized (http://tigg.1212321.com/) in the research neighborhood utilizing reasoning information produced (https://noticeyatak.com/) by DeepSeek-R1. The assessment (https://herz-eigen.de/) results show that the distilled smaller sized thick designs perform (https://www.anguscounty.com/) exceptionally (https://sportify.brandnitions.com/) well on criteria.


DeepSeek-R1-Distill-Qwen-1.5 B


DeepSeek-R1-Distill-Qwen-7B


DeepSeek-R1-Distill-Llama-8B


DeepSeek-R1-Distill-Qwen-14B


DeepSeek-R1-Distill-Qwen-32B


DeepSeek-R1-Distill-Llama-70B
(https://deepseekcoder.github.io/static/images/table2.png)

License


The design weights (http://www.technitronic.com/) are accredited under the MIT License. DeepSeek-R1 series assistance business (https://ww2powstories.com/) use, permit any adjustments and derivative (http://www.zhihutech.com/) works, consisting (https://tube.zonaindonesia.com/) of, but not restricted (https://www.inesmeo.com/) to, distillation (https://tourslibya.com/) for training (http://ecsf.be/) other LLMs.
(https://www.surveycto.com/wp-content/uploads/2024/06/SurveyCTO-Assistant-featured-1440-x-800.jpg)