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@@ -21,7 +21,7 @@ Original model: [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co
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  All quantized versions were generated using an appropriate imatrix created from datasets available at [eaddario/imatrix-calibration](https://huggingface.co/datasets/eaddario/imatrix-calibration).
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- At its core, an Importance Matrix (imatrix) is a table or, more broadly, a structured representation that socres the relative importance of different features or parameters in a machine learning model. It essentially quantifies the "impact" each feature has on a specific outcome, prediction, or relationship being modeled.
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  The process to produce the quantized [GGUF](https://huggingface.co/docs/hub/en/gguf) models is roughly as follows:
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  All quantized versions were generated using an appropriate imatrix created from datasets available at [eaddario/imatrix-calibration](https://huggingface.co/datasets/eaddario/imatrix-calibration).
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+ At its core, an Importance Matrix (imatrix) is a table or, more broadly, a structured representation that scores the relative importance of different features or parameters in a machine learning model. It essentially quantifies the "impact" each feature has on a specific outcome, prediction, or relationship being modeled.
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  The process to produce the quantized [GGUF](https://huggingface.co/docs/hub/en/gguf) models is roughly as follows:
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