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---
base_model:
- Qwen/Qwen2.5-32B
- Qwen/Qwen2.5-32B-Instruct
- Qwen/Qwen2.5-Coder-32B
- Qwen/Qwen2.5-Coder-32B-Instruct
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
language:
- en
- zh
pipeline_tag: text-generation
---
*This series aims to unify the **official models** of **Qwen**.*
*The **unified model** obtained by merging the **code** model and the **instruction** model through the **SCE** method*
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Qwen/Qwen2.5-32B-instruct
parameters:
density: 1
weight: 1
lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-32B
parameters:
density: 1
weight: 1
lambda: 0.9
normalize: true
int8_mask: true
dtype: bfloat16
name: Qwen2.5-32B-YOYO
```
```yaml
models:
- model: Qwen/Qwen2.5-Coder-32B-instruct
parameters:
density: 1
weight: 1
lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-Coder-32B
parameters:
density: 1
weight: 1
lambda: 0.9
normalize: true
int8_mask: true
dtype: bfloat16
name: Qwen2.5-Coder-32B-YOYO
```
```yaml
merge_method: sce
models:
# Pivot model
- model: Qwen/Qwen2.5-Coder-32B
# Target models
- model: YOYO-AI/Qwen2.5-32B-YOYO
- model: YOYO-AI/Qwen2.5-Coder-32B-YOYO
base_model: Qwen/Qwen2.5-Coder-32B
parameters:
select_topk: 1
dtype: bfloat16
tokenizer_source: base
normalize: true
int8_mask: true
``` |