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Same thing as the other one, but I threw an additional ~10m tokens at it for about ~20m total over two trains.

Same datasets, just different samples from them.

Feels better now. Next stage: More creative fine-tuning.

Instruct format is ChatML. Tested with parameters: temperature = 0.7, top-A = 0.2.

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21B params

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BF16

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