Model Stock: All we need is just a few fine-tuned models
Paper
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2403.19522
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Published
•
13
Untitled Model (1)
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 unsloth/Meta-Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: unsloth/Meta-Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
- layer_range: [0, 32]
model: T145/KRONOS-8B-V1-P3
- layer_range: [0, 32]
model: mukaj/Llama-3.1-Hawkish-8B
- layer_range: [0, 32]
model: unsloth/Meta-Llama-3.1-8B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
| Metric | Value (%) |
|---|---|
| Average | 28.67 |
| IFEval (0-Shot) | 77.70 |
| BBH (3-Shot) | 30.05 |
| MATH Lvl 5 (4-Shot) | 19.71 |
| GPQA (0-shot) | 5.26 |
| MuSR (0-shot) | 8.36 |
| MMLU-PRO (5-shot) | 30.92 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard77.700
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard30.050
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard19.710
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.260
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.360
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.920