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  This model was trained on ~25M tokens, in **3 phases**, the first and longest phase was an FFT to teach the model new stuff, and to confuse the shit out of it too, so it would be **a little bit less inclined to use GPTisms**.
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- It worked pretty well. In fact, the model was so damn thoroughly confused, that the little devil didn't even make any sense, but the knowledge was there.
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  In the next phase, a DEEP QLORA of **R = 512** was used on a new dataset, to... unconfuse it. A completely different dataset was used to avoid overfitting.
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  This model was trained on ~25M tokens, in **3 phases**, the first and longest phase was an FFT to teach the model new stuff, and to confuse the shit out of it too, so it would be **a little bit less inclined to use GPTisms**.
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+ It worked pretty well. In fact, the model was so damn thoroughly confused, that the little devil didn't even make any sense at all, but the knowledge was there.
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  In the next phase, a DEEP QLORA of **R = 512** was used on a new dataset, to... unconfuse it. A completely different dataset was used to avoid overfitting.
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