Update README.md

README.md

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 <!-- README_GGUF.md-provided-files start -->
 ## Provided files
 
-| Name | Quant method | Bits | Size | Use case |
-| ---- | ---- | ---- | ---- | ---- | ----- |
-| [mistal-Ita-7b-q3_k_m.gguf](https://huggingface.co/DeepMount00/Mistral-Ita-7b-GGUF/blob/main/mistal-Ita-7b-q3_k_m.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
-| [mistal-Ita-7b-q4_k_m.gguf](https://huggingface.co/DeepMount00/Mistral-Ita-7b-GGUF/blob/main/mistal-Ita-7b-q4_k_m.gguf) | Q4_K_M | 4 | 4.37 GB| vmedium, balanced quality - recommended |
-| [mistal-Ita-7b-q5_k_m.gguf](https://huggingface.co/DeepMount00/Mistral-Ita-7b-GGUF/blob/main/mistal-Ita-7b-q5_k_m.gguf) | Q5_K_M | 5 | 7.63 GB| large, very low quality loss - recommended |
+| Name | Quant method | Bits | Size    | Use case                                         |
+|------|--------------|------|---------|--------------------------------------------------|
+| [mistal-Ita-7b-q3_k_m.gguf](https://huggingface.co/DeepMount00/Mistral-Ita-7b-GGUF/blob/main/mistal-Ita-7b-q3_k_m.gguf) | Q3_K_M        | 3    | 3.52 GB | very small, high quality loss                    |
+| [mistal-Ita-7b-q4_k_m.gguf](https://huggingface.co/DeepMount00/Mistral-Ita-7b-GGUF/blob/main/mistal-Ita-7b-q4_k_m.gguf) | Q4_K_M        | 4    | 4.37 GB | medium, balanced quality - recommended           |
+| [mistal-Ita-7b-q5_k_m.gguf](https://huggingface.co/DeepMount00/Mistral-Ita-7b-GGUF/blob/main/mistal-Ita-7b-q5_k_m.gguf) | Q5_K_M        | 5    | 7.63 GB | large, very low quality loss - recommended       |
 
 **Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
 <!-- README_GGUF.md-provided-files end -->