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@@ -21,8 +21,8 @@ We further project E-Class to have a ratio of 264, and F-Class to have a ratio o
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  | Model Name | Parameters | Class | Ratio | Tokens | Batch Size (Tokens) | Training Loss |
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  | --- | --- | --- | --- | --- | --- | --- |
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- | GerbilLab/Gerbil-A-3.3m | 3.3m | A-Class | 20 | 60M | 65.5k | 6.664400 |
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- | GerbilLab/Gerbil-B-3.3m | 3.3m | B-Class | 42 | 126M | 65.5k | coming soon |
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  | --- | --- | --- | --- | --- | --- | --- |
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  | GerbilLab/Gerbil-A-6.7m | 6.7m | A-Class | 20 | 134M | 131k | 6.074100 |
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  | GerbilLab/Gerbil-B-6.7m | 6.7m | B-Class | 42 | 281M | 131k | 5.513200 |
 
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  | Model Name | Parameters | Class | Ratio | Tokens | Batch Size (Tokens) | Training Loss |
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  | --- | --- | --- | --- | --- | --- | --- |
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+ | GerbilLab/Gerbil-A-3.3m | 3.3m | A-Class | 20 | 60M | 65.5k | 6.6644 |
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+ | GerbilLab/Gerbil-B-3.3m | 3.3m | B-Class | 42 | 126M | 65.5k | 6.0822 |
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  | --- | --- | --- | --- | --- | --- | --- |
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  | GerbilLab/Gerbil-A-6.7m | 6.7m | A-Class | 20 | 134M | 131k | 6.074100 |
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  | GerbilLab/Gerbil-B-6.7m | 6.7m | B-Class | 42 | 281M | 131k | 5.513200 |