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Why DeepSeek is cheap at scale but expensive to run locally

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  1. This may not be the best deep learning framework, but it is a deep learning framework.

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    This is really not true my friend. I would love to help you if I had some more time, but let me look for a tutorial. Because the FineWeb Dataset is already super good. You can train 7B or 32B Param models at home (if you have $1-2M). The >600B Param model isn't really using all the data effectively, but with a MacMini Farm you can also train that one at home. Here's the easy way: https://github.com/FareedKhan-dev/train-deepseek-r1 Here's how DeepSeek-R1-Zero was built, basically from 0 to Hero, including weights the FULL Training Data and everything you need to get it running locally or on servers.https://medium.com/@GenerationAI/how-deepseek-r1-zero-was-reproduced-in-30-4e394cd3dd58 For $30 USD you can also train a small DeepSeek at home! https://github.com/Jiayi-Pan/TinyZero (the model).

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