merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Linear merge method.
Models Merged
The following models were included in the merge:
- nbeerbower/mistral-nemo-kartoffel-12B
- yamatazen/Ayla-Light-12B-v2
- redrix/patricide-12B-Unslop-Mell-v2
- cgato/Nemo-12b-TheAnswer-v0.1-E2
Configuration
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/mistral-nemo-kartoffel-12B
parameters:
weight: 1.0
- model: cgato/Nemo-12b-TheAnswer-v0.1-E2
parameters:
weight: 1.0
- model: yamatazen/Ayla-Light-12B-v2
parameters:
weight: 1.0
- model: redrix/patricide-12B-Unslop-Mell-v2
parameters:
weight: 1.0
merge_method: linear
normalize: true
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
Metric | Value (%) |
---|---|
Average | 23.78 |
IFEval (0-Shot) | 44.36 |
BBH (3-Shot) | 35.51 |
MATH Lvl 5 (4-Shot) | 11.25 |
GPQA (0-shot) | 7.72 |
MuSR (0-shot) | 14.44 |
MMLU-PRO (5-shot) | 29.39 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard44.360
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard35.510
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard11.250
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.720
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.440
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.390