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 CultriX/SeQwence-14Bv1 as a base.
Models Merged
The following models were included in the merge:
- allknowingroger/Qwenslerp2-14B
- CultriX/Qwen2.5-14B-MegaMerge-pt2
- CultriX/Qwen2.5-14B-MergeStock
- CultriX/Qwestion-14B
- allknowingroger/Qwen2.5-slerp-14B
- allknowingroger/Qwenslerp3-14B
- CultriX/Qwen2.5-14B-Wernicke
Configuration
The following YAML configuration was used to produce this model:
models:
- model: CultriX/Qwen2.5-14B-MergeStock
- model: CultriX/SeQwence-14Bv1
- model: allknowingroger/Qwenslerp2-14B
- model: allknowingroger/Qwenslerp3-14B
- model: allknowingroger/Qwen2.5-slerp-14B
- model: CultriX/Qwestion-14B
- model: CultriX/Qwen2.5-14B-Wernicke
- model: CultriX/Qwen2.5-14B-MegaMerge-pt2
base_model: CultriX/SeQwence-14Bv1
merge_method: model_stock
parameters:
normalize: true
dtype: bfloat16
tokenizer_source: CultriX/SeQwence-14Bv1
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 36.93 |
IFEval (0-Shot) | 55.63 |
BBH (3-Shot) | 50.60 |
MATH Lvl 5 (4-Shot) | 29.91 |
GPQA (0-shot) | 17.23 |
MuSR (0-shot) | 19.28 |
MMLU-PRO (5-shot) | 48.95 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard55.630
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard50.600
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard29.910
- acc_norm on GPQA (0-shot)Open LLM Leaderboard17.230
- acc_norm on MuSR (0-shot)Open LLM Leaderboard19.280
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard48.950