merge
This is a merge of pre-trained language models created using mergekit.
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Merge Method
This model was merged using the SCE merge method using sthenno-com/miscii-14b-1225 as a base.
Models Merged
The following models were included in the merge:
- sthenno/tempesthenno-0126-ckpt150
- ToastyPigeon/Qwen2.5-14B-Instruct-1M-Unalign
- huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated
- SicariusSicariiStuff/Impish_QWEN_14B-1M
- sthenno/tempesthenno-nuslerp-0124
- huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
Configuration
The following YAML configuration was used to produce this model:
merge_method: sce
models:
- model: sthenno/tempesthenno-nuslerp-0124
- model: huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
- model: sthenno/tempesthenno-0126-ckpt150
- model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated
- model: SicariusSicariiStuff/Impish_QWEN_14B-1M
- model: ToastyPigeon/Qwen2.5-14B-Instruct-1M-Unalign
base_model: sthenno-com/miscii-14b-1225
parameters:
select_topk: 1.0
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 34.08 |
| IFEval (0-Shot) | 41.81 |
| BBH (3-Shot) | 37.27 |
| MATH Lvl 5 (4-Shot) | 40.18 |
| GPQA (0-shot) | 17.67 |
| MuSR (0-shot) | 28.75 |
| MMLU-PRO (5-shot) | 38.79 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard41.810
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard37.270
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard40.180
- acc_norm on GPQA (0-shot)Open LLM Leaderboard17.670
- acc_norm on MuSR (0-shot)Open LLM Leaderboard28.750
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard38.790