Model Stock: All we need is just a few fine-tuned models
Paper
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2403.19522
•
Published
•
13
NeuralMahou
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 mlabonne/NeuralDaredevil-8B-abliterated 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: mlabonne/NeuralDaredevil-8B-abliterated
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
- layer_range: [0, 32]
model: flammenai/Mahou-1.2-llama3-8B
- layer_range: [0, 32]
model: nbeerbower/llama-3-spicy-abliterated-stella-8B
- layer_range: [0, 32]
model: mlabonne/NeuralDaredevil-8B-abliterated
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 71.33 |
| AI2 Reasoning Challenge (25-Shot) | 67.41 |
| HellaSwag (10-Shot) | 83.45 |
| MMLU (5-Shot) | 68.63 |
| TruthfulQA (0-shot) | 58.21 |
| Winogrande (5-shot) | 77.74 |
| GSM8k (5-shot) | 72.55 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard67.410
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard83.450
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard68.630
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard58.210
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.740
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard72.550