merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: model_stock
models:
- model: Nexesenex/Llama_3.1_8b_DeepDive_3_R1_Prev_v1.0
parameters:
weight: 1.0
- model: Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1
parameters:
weight: 1.0
base_model: SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.73 |
| IFEval (0-Shot) | 76.00 |
| BBH (3-Shot) | 32.83 |
| MATH Lvl 5 (4-Shot) | 23.19 |
| GPQA (0-shot) | 6.60 |
| MuSR (0-shot) | 9.89 |
| MMLU-PRO (5-shot) | 29.87 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard76.000
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.830
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard23.190
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.600
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.890
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.870