about
Nothing special here, just a first attempt with 1b.
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 huihui-ai/Llama-3.2-1B-Instruct-abliterated 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: cognitivecomputations/Dolphin3.0-Llama3.2-1B
parameters:
weight: 1.0
- model: huihui-ai/MicroThinker-1B-Preview
parameters:
weight: 1.0
base_model: huihui-ai/Llama-3.2-1B-Instruct-abliterated
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 11.87 |
| IFEval (0-Shot) | 54.34 |
| BBH (3-Shot) | 6.61 |
| MATH Lvl 5 (4-Shot) | 3.70 |
| GPQA (0-shot) | 0.00 |
| MuSR (0-shot) | 2.50 |
| MMLU-PRO (5-shot) | 4.04 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard54.340
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard6.610
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard3.700
- acc_norm on GPQA (0-shot)Open LLM Leaderboard0.000
- acc_norm on MuSR (0-shot)Open LLM Leaderboard2.500
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard4.040