merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using unsloth/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:
models:
- model: unsloth/Llama-3.2-3B
- model: djuna-test-lab/TEST-L3.2-3B-ReWish-8B
parameters:
weight: 1
- model: djuna-test-lab/TEST-L3.2-3B-ReWish-8B
parameters:
weight: 1
merge_method: ties
base_model: unsloth/Llama-3.2-3B
tokenizer_source: djuna-test-lab/TEST-L3.2-3B-ReWish-8B
parameters:
density: 1
normalize: true
int8_mask: true
dtype: float32
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 22.42 |
| IFEval (0-Shot) | 63.53 |
| BBH (3-Shot) | 22.07 |
| MATH Lvl 5 (4-Shot) | 12.92 |
| GPQA (0-shot) | 4.47 |
| MuSR (0-shot) | 7.92 |
| MMLU-PRO (5-shot) | 23.62 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard63.530
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard22.070
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard12.920
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.470
- acc_norm on MuSR (0-shot)Open LLM Leaderboard7.920
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.620