Model Stock: All we need is just a few fine-tuned models
Paper
• 2403.19522 • Published
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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 huihui-ai/DeepSeek-R1-Distill-Llama-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:
merge_method: model_stock
models:
- model: meditsolutions/Llama-3.1-MedIT-SUN-8B
parameters:
weight: 1.0
- model: allenai/Llama-3.1-Tulu-3.1-8B
parameters:
weight: 1.0
base_model: huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.11 |
| IFEval (0-Shot) | 63.46 |
| BBH (3-Shot) | 30.70 |
| MATH Lvl 5 (4-Shot) | 26.06 |
| GPQA (0-shot) | 6.71 |
| MuSR (0-shot) | 12.32 |
| MMLU-PRO (5-shot) | 29.39 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard63.460
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard30.700
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard26.060
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.710
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.320
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.390