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@@ -41,6 +41,8 @@ Designed for multi-step, logic-intensive mathematical problem-solving tasks
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Additionally trained with Reinforcement Learning for higher accuracy but generates on average 50% more tokens
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## Special thanks
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🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.
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Additionally trained with Reinforcement Learning for higher accuracy but generates on average 50% more tokens
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Find more details in their paper here: https://www.microsoft.com/en-us/research/wp-content/uploads/2025/04/phi_4_reasoning.pdf
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## Special thanks
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🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.
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