Update README.md

README.md

@@ -23,7 +23,7 @@ Original model: [watt-ai/watt-tool-8B](https://huggingface.co/watt-ai/watt-tool-
 
 All quantized versions were generated using an appropriate imatrix created from datasets available at [eaddario/imatrix-calibration](https://huggingface.co/datasets/eaddario/imatrix-calibration).
 
-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.
+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.
 
 The process to produce the quantized [GGUF](https://huggingface.co/docs/hub/en/gguf) models is roughly as follows: