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  ![syngen reasoning logo](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/LTFnrPZ-UIL9f1vjiEutu.png)
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  # 👋 SYNGEN REASONING 0.6B
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- This is a 0.6B parameter LLM designed for synthetic reasoning generation between final model outputs, specifically for dataset modifications, but can be used for multiple use cases which require reasoning.
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  For example, this model allows you to turn any chat dataset into a reasoning dataset as if it was generated by DeepSeek R1 or Openai's GPT OSS!
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  ![syngen reasoning logo](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/LTFnrPZ-UIL9f1vjiEutu.png)
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  # 👋 SYNGEN REASONING 0.6B
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+ This is a 0.6B parameter LLM designed for synthetic grounded reasoning generation between final model outputs, specifically for dataset modifications, but can be used for multiple use cases which require reasoning.
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  For example, this model allows you to turn any chat dataset into a reasoning dataset as if it was generated by DeepSeek R1 or Openai's GPT OSS!
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