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Achal Dave commited on
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@@ -61,7 +61,7 @@ As described in the paper, Core accuracy is the average of centered accuracy on
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  over 53 tasks. We evaluate the models using llm-foundry.
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- | Model | Params | Tokens | Open dataset? | \lowvar | MMLU | \aggscore |
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  |-----------------------------------|--------|--------|---------------|----------|----------|-----------|
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  | **Open weights, closed datasets** | | | | | | |
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  | Qwen2-1.5B | 1.5B | ? | ❌ | 42.1 | **56.4** | **32.4** |
 
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  over 53 tasks. We evaluate the models using llm-foundry.
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+ | Model | Params | Tokens | Open dataset? | Core | MMLU | Extended |
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  |-----------------------------------|--------|--------|---------------|----------|----------|-----------|
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  | **Open weights, closed datasets** | | | | | | |
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  | Qwen2-1.5B | 1.5B | ? | ❌ | 42.1 | **56.4** | **32.4** |