metadata
base_model:
- Qwen/Qwen2.5-Math-7B
- Qwen/Qwen2.5-7B-Instruct
- Qwen/Qwen2.5-7B
library_name: transformers
tags:
- mergekit
- merge
Qwen2.5-7B-Instruct-Math-task-arithmetic
This is a merge of pre-trained language models created using mergekit.
Performance
| Metric | Value |
|---|---|
| GSM8k (zero-shot) | 91.35 |
| HellaSwag (zero-Shot) | 80.01 |
| MBPP (zero-shot) | 61.01 |
Merge Details
Merge Method
This model was merged using the Task Arithmetic merge method using Qwen/Qwen2.5-7B 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: Qwen/Qwen2.5-7B
dtype: bfloat16
merge_method: task_arithmetic
parameters:
lambda: 0.7870041304118442
normalize: 1.0
slices:
- sources:
- layer_range: [0, 28]
model: Qwen/Qwen2.5-7B
- layer_range: [0, 28]
model: Qwen/Qwen2.5-Math-7B
parameters:
weight: 0.11841208483160265
- layer_range: [0, 28]
model: Qwen/Qwen2.5-7B-Instruct
parameters:
weight: 0.7783861791140264