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  # Information
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  Advanced, high-quality and **lite** reasoning for a tiny size that you can run on your phone.
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- At original quality, it runs at ~300 tokens/second on a single a800 Nvidia GPU.
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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 & 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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  # Information
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  Advanced, high-quality and **lite** reasoning for a tiny size that you can run on your phone.
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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 & 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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