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 NousResearch/DeepHermes-3-Llama-3-8B-Preview 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_Smarteaz_0.2_R1
parameters:
weight: 1.0
- model: huihui-ai/Dolphin3.0-Llama3.1-8B-abliterated
parameters:
weight: 1.0
base_model: NousResearch/DeepHermes-3-Llama-3-8B-Preview
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 27.47 |
| IFEval (0-Shot) | 71.01 |
| BBH (3-Shot) | 30.73 |
| MATH Lvl 5 (4-Shot) | 19.26 |
| GPQA (0-shot) | 6.71 |
| MuSR (0-shot) | 10.00 |
| MMLU-PRO (5-shot) | 27.12 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard71.010
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard30.730
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard19.260
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.710
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.000
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard27.120