Follow step-by-step instructions to build your own AI chat model using reinforcement learning techniques.
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train-deepseek-r1 has 793 stars on GitHub. It has been forked 135 times. train-deepseek-r1 is written mainly in Jupyter Notebook. It has been in active development since 2025. train-deepseek-r1 is available under the MIT license. Its main topics are chatgpt, deepseek-r1, large-language-models, llm.
What is train-deepseek-r1?
Building DeepSeek R1 from Scratch
Is train-deepseek-r1 open source?
train-deepseek-r1 is an open-source project. It is released under the MIT license.
Is train-deepseek-r1 free?
Yes. train-deepseek-r1 is free and open source — you can use, modify and self-host it.
What license does train-deepseek-r1 use?
train-deepseek-r1 is available under the MIT license.
What language is train-deepseek-r1 written in?
train-deepseek-r1 is written mainly in Jupyter Notebook.
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