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README.md
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@@ -23,7 +23,7 @@ The model belongs to the Phi-3 family with the Mini version in two variants [4K]
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After initial training, the model underwent a post-training process that involved supervised fine-tuning and direct preference optimization to enhance its ability to follow instructions and adhere to safety measures.
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When evaluated against benchmarks that test common sense, language understanding, mathematics, coding, long-term context, and logical reasoning, the Phi-3 Mini-128K-Instruct demonstrated robust and state-of-the-art performance among models with fewer than 13 billion parameters.
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Resources
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🏡 [Phi-3 Portal](https://azure.microsoft.com/en-us/products/phi-3) <br>
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📰 [Phi-3 Microsoft Blog](https://aka.ms/Phi-3Build2024) <br>
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After initial training, the model underwent a post-training process that involved supervised fine-tuning and direct preference optimization to enhance its ability to follow instructions and adhere to safety measures.
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When evaluated against benchmarks that test common sense, language understanding, mathematics, coding, long-term context, and logical reasoning, the Phi-3 Mini-128K-Instruct demonstrated robust and state-of-the-art performance among models with fewer than 13 billion parameters.
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Resources a
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🏡 [Phi-3 Portal](https://azure.microsoft.com/en-us/products/phi-3) <br>
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📰 [Phi-3 Microsoft Blog](https://aka.ms/Phi-3Build2024) <br>
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