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README.md

@@ -27,7 +27,7 @@ Finally, for each respective quantisation level, `llama.cpp`'s `llama-quantize`
 
 ## Quantisations
 
-To help visualise the difference in model quantisation (i.e. level of retained fidelity), the image below shows the cosine similarity scores for each quanitsation, baselined against the 32-bit base model. It can be observed that lower fidelity yields a wider scatter in scores, relative to the 32-bit model.
+To help visualise the difference in model quantisation (i.e. level of retained fidelity), the image below shows the cosine similarity scores for each quantisation, baselined against the 32-bit base model. It can be observed that lower fidelity yields a wider scatter in scores, relative to the 32-bit model.
 
 The underlying [base dataset](https://huggingface.co/datasets/sentence-transformers/stsb) was sampled to 1000 records with a unbiased similarity score distribution. Using the various quantisation levels of this model, embeddings were created for `sentence1` and `sentence2`. Finally, a cosine similarity score was calculated across the two embeddings, and plotted on the graph.