merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method using huihui-ai/Llama-3.2-3B-Instruct-abliterated + bunnycore/Llama-3.2-3B-Long-Think-lora_model as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated+bunnycore/Llama-3.2-3B-Long-Think-lora_model
dtype: bfloat16
merge_method: passthrough
models:
- model: huihui-ai/Llama-3.2-3B-Instruct-abliterated+bunnycore/Llama-3.2-3B-Long-Think-lora_model
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 19.55 |
| IFEval (0-Shot) | 54.73 |
| BBH (3-Shot) | 24.23 |
| MATH Lvl 5 (4-Shot) | 12.92 |
| GPQA (0-shot) | 1.45 |
| MuSR (0-shot) | 1.21 |
| MMLU-PRO (5-shot) | 22.75 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard54.730
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard24.230
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard12.920
- acc_norm on GPQA (0-shot)Open LLM Leaderboard1.450
- acc_norm on MuSR (0-shot)Open LLM Leaderboard1.210
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard22.750