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@@ -42,8 +42,6 @@ This model is a Mixure of Experts (MoE) made with [mergekit](https://github.com/
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  |agieval_sat_math | 0|acc |34.55|± | 3.21|
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  | | |acc_norm|32.27|± | 3.16|
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- Average: 45.29%
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-
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  ### GPT4All
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  | Task |Version| Metric |Value| |Stderr|
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  |-------------|------:|--------|----:|---|-----:|
@@ -60,16 +58,12 @@ Average: 45.29%
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  | | |acc_norm|83.95|± | 0.86|
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  |winogrande | 0|acc |78.69|± | 1.15|
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- Average: 75.95%
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-
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  ### TruthfulQA
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  | Task |Version|Metric|Value| |Stderr|
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  |-------------|------:|------|----:|---|-----:|
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  |truthfulqa_mc| 1|mc1 |44.55|± | 1.74|
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  | | |mc2 |60.86|± | 1.57|
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- Average: 60.86%
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-
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  ### Bigbench
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  | Task |Version| Metric |Value| |Stderr|
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  |------------------------------------------------|------:|---------------------|----:|---|-----:|
@@ -93,10 +87,6 @@ Average: 60.86%
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  |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.03|± | 0.94|
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  |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|52.00|± | 2.89|
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- Average: 46.4%
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-
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- Average score: 57.13%
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-
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  ## 🧩 Configuration
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  ```yaml
 
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  |agieval_sat_math | 0|acc |34.55|± | 3.21|
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  | | |acc_norm|32.27|± | 3.16|
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  ### GPT4All
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  | Task |Version| Metric |Value| |Stderr|
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  |-------------|------:|--------|----:|---|-----:|
 
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  | | |acc_norm|83.95|± | 0.86|
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  |winogrande | 0|acc |78.69|± | 1.15|
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  ### TruthfulQA
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  | Task |Version|Metric|Value| |Stderr|
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  |-------------|------:|------|----:|---|-----:|
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  |truthfulqa_mc| 1|mc1 |44.55|± | 1.74|
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  | | |mc2 |60.86|± | 1.57|
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  ### Bigbench
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  | Task |Version| Metric |Value| |Stderr|
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  |------------------------------------------------|------:|---------------------|----:|---|-----:|
 
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  |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.03|± | 0.94|
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  |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|52.00|± | 2.89|
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  ## 🧩 Configuration
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  ```yaml