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@@ -21,7 +21,7 @@ Advanced, high-quality and lite reasoning for a tiny size that you can run local
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  ⚠️This is an experimental version, it may enter into reasoning loops, and it may not always answer your question properly or correctly. an updated version will be released later on. currently reasoning may only work on single-turn conversations, as we've trained it on single turn conversations only.
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  ![superthoughtslight.png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/2LuPB_ZPCGni3-PyCkL0-.png)
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- we've continuously pre-trained SmolLM2-1.7B-Instruct on advanced reasoning patterns, then SFT fine-tuned that continuously pre-trained version on reasoning once again.
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  # Examples:
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  all responses below generated with no system prompt, 400 maximum tokens and a temperature of 0.7 (not recommended, 0.3 - 0.5 is better):
 
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  ⚠️This is an experimental version, it may enter into reasoning loops, and it may not always answer your question properly or correctly. an updated version will be released later on. currently reasoning may only work on single-turn conversations, as we've trained it on single turn conversations only.
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  ![superthoughtslight.png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/2LuPB_ZPCGni3-PyCkL0-.png)
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+ we've continuously pre-trained SmolLM2-1.7B-Instruct on advanced reasoning patterns to create this model.
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  # Examples:
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  all responses below generated with no system prompt, 400 maximum tokens and a temperature of 0.7 (not recommended, 0.3 - 0.5 is better):