Quants
Provided by @mradermacher
GGUF Static: https://huggingface.co/mradermacher/MT-Gen4-gemma-2-9B-GGUF
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: zelk12/MT-Gen4-MAMU-gemma-2-9B
- model: zelk12/MT-Gen4-GIBMM-gemma-2-9B
merge_method: slerp
base_model: zelk12/MT-Gen4-MAMU-gemma-2-9B
dtype: bfloat16
parameters:
t: 0.25
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 33.72 |
| IFEval (0-Shot) | 78.83 |
| BBH (3-Shot) | 43.96 |
| MATH Lvl 5 (4-Shot) | 16.54 |
| GPQA (0-shot) | 13.98 |
| MuSR (0-shot) | 11.38 |
| MMLU-PRO (5-shot) | 37.64 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard78.830
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard43.960
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard16.540
- acc_norm on GPQA (0-shot)Open LLM Leaderboard13.980
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.380
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard37.640