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@@ -43,30 +43,15 @@ Below are the perplexity scores for the EXL2 models. A lower score is better.
 
 Here are the EQ Bench scores for the EXL2 quants using Alpaca, ChatML and Chat-Vicuna prompt templates. A higher score is better.
 
-
-| Quant Size | Instruct Template | Score |
-|------------|-------------------|-------|
-| 8.0        | Alpaca            | 75.02 |
-| 8.0        | ChatML            | 73.82 |
-| 8.0        | Chat-Vicuna       | 73.53 |
-| 7.0        | Alpaca            | 74.96 |
-| 7.0        | ChatML            | 74.22 |
-| 7.0        | Chat-Vicuna       | 72.71 |
-| 6.0        | Alpaca            | 75.11 |
-| 6.0        | ChatML            | 74.29 |
-| 6.0        | Chat-Vicuna       | 74.16 |
-| 5.0        | Alpaca            | 74.11 |
-| 5.0        | ChatML            | 72.74 |
-| 5.0        | Chat-Vicuna       | 73.28 |
-| 4.5        | Alpaca            | 73.18 |
-| 4.5        | ChatML            | 73.62 |
-| 4.5        | Chat-Vicuna       | 73.32 |
-| 4.0        | Alpaca            | 71.85 |
-| 4.0        | ChatML            | 73.99 |
-| 4.0        | Chat-Vicuna       | 74.74 |
-| 3.5        | Alpaca            | 73.73 |
-| 3.5        | ChatML            | 72.07 |
-| 3.5        | Chat-Vicuna       | 73.56 |
+| Quant Size | ChatML | Alpaca | Chat-Vicuna |
+|------------|--------|--------|-------------|
+| 8.0        | 73.82  | 75.02  | 73.53       |
+| 7.0        | 74.22  | 74.96  | 72.71       |
+| 6.0        | 74.29  | 75.11  | 74.16       |
+| 5.0        | 72.74  | 74.11  | 73.28       |
+| 4.5        | 73.62  | 73.18  | 73.32       |
+| 4.0        | 73.99  | 71.85  | 74.74       |
+| 3.5        | 72.07  | 73.73  | 73.56       |
 
 ### Chat-Vicuna Template