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README.md

@@ -9,11 +9,11 @@ Selected evaluation results for this and other models:
 | Llama-2-7b | 1x16        | 6.31           | 2.4            | [Link](https://huggingface.co/BlackSamorez/Llama-2-7b-AQLM-2Bit-1x16-hf) |
 | Llama-2-7b | 2x8         | 7.98           | 2.2            | [Link](https://huggingface.co/BlackSamorez/Llama-2-7b-AQLM-2Bit-2x8-hf)  |
 | Llama-2-7b | 8x8         | 7.83           | 2.2            | [Link](https://huggingface.co/BlackSamorez/Llama-2-7b-AQLM-2Bit-8x8-hf)  |
-| Llama-2-13b (THIS) | 1x16        | 5.41           | 4.1            | [Link](https://huggingface.co/BlackSamorez/Llama-2-13b-AQLM-2Bit-1x16-hf)|
+| Llama-2-13b | 1x16        | 5.41           | 4.1            | [Link](https://huggingface.co/BlackSamorez/Llama-2-13b-AQLM-2Bit-1x16-hf)|
 | Llama-2-70b| 1x16        | 3.96           | 18.8           | [Link](https://huggingface.co/BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf)|
 | Llama-2-70b| 2x8         | 4.83           | 18.2           | [Link](https://huggingface.co/BlackSamorez/Llama-2-70b-AQLM-2Bit-2x8-hf) |
 | Mixtral-8x7b| 1x16       | 4.37           | 12.6            | [Link](https://huggingface.co/BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x16-hf)|
-| miqu-1-70b | 1x16        | 4.01           | 18.8            | [Link](https://huggingface.co/AlexWortega/miqu-1-70b-AQLM-2Bit-1x16-hf)|
+| miqu-1-70b (THIS) | 1x16        | 4.01           | 18.8            | [Link](https://huggingface.co/AlexWortega/miqu-1-70b-AQLM-2Bit-1x16-hf)|
 
 
 To learn more about the inference, as well as the information on how to quantize models yourself, please refer to the [official GitHub repo](https://github.com/Vahe1994/AQLM).