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 Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 as a base.
Models Merged
The following models were included in the merge:
- bunnycore/HyperLlama-3.1-8B
- mlabonne/NeuralDaredevil-8B-abliterated
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated
- darkc0de/BuddyGlass_v0.2_Xortron7MethedUpSwitchedUp
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated
- model: mlabonne/NeuralDaredevil-8B-abliterated
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- model: bunnycore/HyperLlama-3.1-8B
- model: darkc0de/BuddyGlass_v0.2_Xortron7MethedUpSwitchedUp
merge_method: model_stock
base_model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 22.04 |
| IFEval (0-Shot) | 43.58 |
| BBH (3-Shot) | 31.87 |
| MATH Lvl 5 (4-Shot) | 11.10 |
| GPQA (0-shot) | 6.49 |
| MuSR (0-shot) | 9.49 |
| MMLU-PRO (5-shot) | 29.70 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard43.580
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard31.870
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard11.100
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.490
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.490
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.700