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/Hermes-3-Llama-3.2-3B 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: lunahr/Hermes-3-Llama-3.2-3B-abliterated
parameters:
weight: 1.0
- model: lunahr/thea-rp-3b-25r
parameters:
weight: 1.0
base_model: NousResearch/Hermes-3-Llama-3.2-3B
dtype: float16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 17.07 |
| IFEval (0-Shot) | 48.52 |
| BBH (3-Shot) | 21.17 |
| MATH Lvl 5 (4-Shot) | 3.10 |
| GPQA (0-shot) | 3.13 |
| MuSR (0-shot) | 9.31 |
| MMLU-PRO (5-shot) | 17.19 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard48.520
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard21.170
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard3.100
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.130
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.310
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard17.190