Model Stock: All we need is just a few fine-tuned models
Paper
• 2403.19522 • Published
• 14
flammen26-mistral-7B
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 flammenai/flammen25-mistral-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: flammenai/Mahou-1.2-mistral-7B
- model: flammenai/flammen23-mistral-7B
- model: flammenai/flammen18X-mistral-7B
merge_method: model_stock
base_model: flammenai/flammen25-mistral-7B
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 72.49 |
| AI2 Reasoning Challenge (25-Shot) | 67.92 |
| HellaSwag (10-Shot) | 86.96 |
| MMLU (5-Shot) | 65.01 |
| TruthfulQA (0-shot) | 71.37 |
| Winogrande (5-shot) | 80.51 |
| GSM8k (5-shot) | 63.15 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard67.920
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.960
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard65.010
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard71.370
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard80.510
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard63.150