Model Stock: All we need is just a few fine-tuned models
Paper
•
2403.19522
•
Published
•
13
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 Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B 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: TheDrummer/Big-Tiger-Gemma-27B-v1
- model: hotmailuser/Gemma2atlas-27B
- model: hotmailuser/Gemma2SimPO-27B
- model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B
merge_method: model_stock
base_model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 37.44 |
| IFEval (0-Shot) | 75.09 |
| BBH (3-Shot) | 50.99 |
| MATH Lvl 5 (4-Shot) | 25.91 |
| GPQA (0-shot) | 15.21 |
| MuSR (0-shot) | 15.99 |
| MMLU-PRO (5-shot) | 41.44 |
- Downloads last month
- 6
Model tree for allknowingroger/GemmaStock1-27B
Merge model
this model
Paper for allknowingroger/GemmaStock1-27B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard75.090
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard50.990
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard25.910
- acc_norm on GPQA (0-shot)Open LLM Leaderboard15.210
- acc_norm on MuSR (0-shot)Open LLM Leaderboard15.990
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard41.440