Resolving Interference When Merging Models
Paper
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2306.01708
•
Published
•
15
This language model is a merged version of several pre-trained models, designed to excel in roleplay, long-form question answering, and prompt following tasks. It was created using the TIES merge method with huihui-ai/Llama-3.2-3B-Instruct-abliterated as the base model.
This model is suitable for a variety of applications, including:
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using huihui-ai/Llama-3.2-3B-Instruct-abliterated as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: bunnycore/Llama-3.2-3B-Long-Think
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Pure-RP
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
parameters:
normalize: false
int8_mask: true
dtype: float16
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.40 |
| IFEval (0-Shot) | 64.04 |
| BBH (3-Shot) | 23.78 |
| MATH Lvl 5 (4-Shot) | 12.69 |
| GPQA (0-shot) | 1.57 |
| MuSR (0-shot) | 2.75 |
| MMLU-PRO (5-shot) | 23.56 |