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README.md
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At original quality, it runs at ~400 tokens/second on a single H100 Nvidia GPU from Friendli.
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Trained similarly to Deepseek R1, we used Smollm2 as a base model, then we've SFT fine tuned on reasoning using our own private superthoughts instruct dataset
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# Format
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```
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At original quality, it runs at ~400 tokens/second on a single H100 Nvidia GPU from Friendli.
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Trained similarly to Deepseek R1, we used Smollm2 as a base model, then we've SFT fine tuned on reasoning using our own private superthoughts instruct dataset, which includes a mix of code, website generation, day-to-day questions and answers, math. And then we modified the tokenizer slightly, after the SFT fine tuning we used GRPO to further amplify it's mathematics & problem solving abilities.
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# Format
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```
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