Llama-3-RedMagic4-8B
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/Meta-Llama-3-8B as a base.
Models Merged
The following models were included in the merge:
- flammenai/Mahou-1.2-llama3-8B
- lemon07r/Llama-3-RedMagic2-8B
- lemon07r/Lllama-3-RedElixir-8B
- nbeerbower/llama-3-spicy-abliterated-stella-8B
Configuration
The following YAML configuration was used to produce this model:
base_model: NousResearch/Meta-Llama-3-8B
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
- layer_range: [0, 32]
model: lemon07r/Llama-3-RedMagic2-8B
- layer_range: [0, 32]
model: lemon07r/Lllama-3-RedElixir-8B
- layer_range: [0, 32]
model: nbeerbower/llama-3-spicy-abliterated-stella-8B
- layer_range: [0, 32]
model: flammenai/Mahou-1.2-llama3-8B
- layer_range: [0, 32]
model: NousResearch/Meta-Llama-3-8B
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 19.32 |
| IFEval (0-Shot) | 48.64 |
| BBH (3-Shot) | 19.48 |
| MATH Lvl 5 (4-Shot) | 8.31 |
| GPQA (0-shot) | 5.37 |
| MuSR (0-shot) | 4.38 |
| MMLU-PRO (5-shot) | 29.73 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard48.640
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard19.480
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard8.310
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.370
- acc_norm on MuSR (0-shot)Open LLM Leaderboard4.380
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.730