FareedKhan-dev/train-deepseek-r1
Building DeepSeek R1 from Scratch
This project helps AI researchers and machine learning engineers understand and replicate the training process for DeepSeek R1, a reasoning-focused large language model. It takes a smaller base language model and reasoning-centric datasets as input, and outputs a fine-tuned LLM with enhanced problem-solving capabilities. It's designed for those who want to explore and implement advanced reinforcement learning techniques for improving LLM reasoning.
749 stars. No commits in the last 6 months.
Use this if you are an AI researcher or machine learning engineer looking to implement and understand the detailed training methodology of reasoning-oriented large language models, particularly DeepSeek R1.
Not ideal if you are an end-user simply looking to use an existing powerful language model for tasks, rather than building or fine-tuning one yourself.
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MIT
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Last pushed
Mar 21, 2025
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