Model Stock: All we need is just a few fine-tuned models
Paper
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2403.19522
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Published
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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 artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond 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: hyunseoki/llama3.2-1b-Open-R1-GRPO-test0
parameters:
weight: 1.0
- model: artificialguybr/LLAMA-3.2-1B-OpenHermes2.5
parameters:
weight: 1.0
base_model: artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 4.96 |
| IFEval (0-Shot) | 17.64 |
| BBH (3-Shot) | 4.97 |
| MATH Lvl 5 (4-Shot) | 1.66 |
| GPQA (0-shot) | 0.00 |
| MuSR (0-shot) | 2.93 |
| MMLU-PRO (5-shot) | 2.57 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard17.640
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard4.970
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard1.660
- acc_norm on GPQA (0-shot)Open LLM Leaderboard0.000
- acc_norm on MuSR (0-shot)Open LLM Leaderboard2.930
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard2.570