Model Stock: All we need is just a few fine-tuned models
Paper
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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 NousResearch/DeepHermes-3-Llama-3-8B-Preview 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: Nexesenex/Llama_3.1_8b_Smarteaz_0.1b
parameters:
weight: 1.0
- model: huihui-ai/Dolphin3.0-Llama3.1-8B-abliterated
parameters:
weight: 1.0
base_model: NousResearch/DeepHermes-3-Llama-3-8B-Preview
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 26.65 |
| IFEval (0-Shot) | 68.09 |
| BBH (3-Shot) | 31.12 |
| MATH Lvl 5 (4-Shot) | 18.66 |
| GPQA (0-shot) | 5.48 |
| MuSR (0-shot) | 9.46 |
| MMLU-PRO (5-shot) | 27.08 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard68.090
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard31.120
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard18.660
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.480
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.460
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard27.080