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README.md

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 Custom GGUF quants of arcee-ai’s [Llama-3.1-SuperNova-Lite-8B](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite), where the Output Tensors are quantized to Q8_0 while the Embeddings are kept at F32. Enjoy! 🧠🔥🚀 
 
-Update: For some reason, the model was initially smaller than LLama-3.1-8B-Instruct after quantizing. We have since, rectified this: if you want the most intelligent and most capable quantized GGUF version of Llama-3.1-SuperNova-Lite-8.0B, use the OF32.EF32.IQuants.
+Update: For some reason, the model was initially smaller than LLama-3.1-8B-Instruct after quantizing. This has since been rectified: if you want the most intelligent and most capable quantized GGUF version of Llama-3.1-SuperNova-Lite-8.0B, use the OF32.EF32.IQuants.
 The original OQ8_0.EF32.IQuants will remain in the repo for those who want to use them. Cheers! 😁