Mistral
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MistralAI-based models
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merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using Triangle104/Pans_Gutenbergum_V0.1 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Triangle104/Pans_Gutenbergum_V0.1
parameters:
density: 1
weight: 1
- model: elinas/Chronos-Gold-12B-1.0
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: Triangle104/Pans_Gutenbergum_V0.1
parameters:
normalize: true
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.40 |
| IFEval (0-Shot) | 32.15 |
| BBH (3-Shot) | 35.91 |
| MATH Lvl 5 (4-Shot) | 4.98 |
| GPQA (0-shot) | 8.28 |
| MuSR (0-shot) | 18.35 |
| MMLU-PRO (5-shot) | 28.73 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard32.150
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard35.910
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard4.980
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.280
- acc_norm on MuSR (0-shot)Open LLM Leaderboard18.350
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.730