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 Qwen/Qwen2.5-7B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
- model: fblgit/cybertron-v4-qw7B-MGS
- model: sethuiyer/Qwen2.5-7B-Anvita
merge_method: model_stock
base_model: Qwen/Qwen2.5-7B
parameters:
normalize: false
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.75 |
| IFEval (0-Shot) | 69.62 |
| BBH (3-Shot) | 36.18 |
| MATH Lvl 5 (4-Shot) | 19.94 |
| GPQA (0-shot) | 7.27 |
| MuSR (0-shot) | 12.95 |
| MMLU-PRO (5-shot) | 38.53 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard69.620
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.180
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard19.940
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.270
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.950
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard38.530