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@@ -24,6 +24,9 @@ use any gguf connector to interact with gguf file(s), i.e., [connector](https://
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  - bug fixed following the guide written by [unsloth](https://unsloth.ai/blog/phi4)
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  - tool used for quantization: [cutter](https://pypi.org/project/gguf-cutter)
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  ### appendices: model summary and quality (written by microsoft)
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  #### model summary
@@ -58,6 +61,3 @@ to understand the capabilities, we (here refer to microsoft side) compare `phi-4
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  | Reasoning | DROP | 75.5 | 68.3 | 85.5 | 79.3 | **90.2** | 76.7 | 80.9 |
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  \* these scores are lower than those reported by Meta, perhaps because simple-evals has a strict formatting requirement that Llama models have particular trouble following.
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-
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- ### citation
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- [Phi-4 Technical Report](https://arxiv.org/pdf/2412.08905)
 
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  - bug fixed following the guide written by [unsloth](https://unsloth.ai/blog/phi4)
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  - tool used for quantization: [cutter](https://pypi.org/project/gguf-cutter)
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+ ### citation
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+ [Phi-4 Technical Report](https://arxiv.org/pdf/2412.08905)
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+
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  ### appendices: model summary and quality (written by microsoft)
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  #### model summary
 
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  | Reasoning | DROP | 75.5 | 68.3 | 85.5 | 79.3 | **90.2** | 76.7 | 80.9 |
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  \* these scores are lower than those reported by Meta, perhaps because simple-evals has a strict formatting requirement that Llama models have particular trouble following.