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train-deepseek-r1 discussion
train-deepseek-r1 reviews and mentions
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Why DeepSeek is cheap at scale but expensive to run locally
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
More details: https://www.bentoml.com/blog/the-complete-guide-to-deepseek-...
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-re...
For $30 USD you can also train a small DeepSeek at home!
https://github.com/Jiayi-Pan/TinyZero
https://huggingface.co/deepseek-ai/DeepSeek-R1-Zero (the model)
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FareedKhan-dev/train-deepseek-r1 is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of train-deepseek-r1 is Jupyter Notebook.
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