---
license: apache-2.0
language:
- en
- zh
base_model:
- Qwen/Qwen2.5-14B
- Azure99/Blossom-V6-14B
- arcee-ai/Virtuoso-Small-v2
- Qwen/Qwen2.5-14B-Instruct
- Qwen/Qwen2.5-14B-Instruct-1M
pipeline_tag: text-generation
tags:
- merge
---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e174e202fa032de4143324/8YkBIMWfWNXm0dbNwj2HH.png)
# ZYH-LLM-Qwen2.5-14B-V3
This is the third-generation model of the **ZYH-LLM series**.

It employs a large amount of model merging techniques, aiming to provide a **powerful and unified 14-billion-parameter model**, laying a solid foundation for further model merging and model fine-tuning.

The following are the specific details of model merging, hoping to inspire you:

## First stage:

### Step 1:
```yaml
models:  
  - model: Qwen/Qwen2.5-14B-Instruct  
    parameters:  
      density: 1  
      weight: 1  
      lambda: 0.9  
merge_method: della  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  lambda: 0.9  
  normalize: true  
  int8_mask: true  
dtype: bfloat16  
tokenizer_source: base  
name: Qwen2.5-14B-YOYO-1010
```
```yaml
models:  
  - model: Qwen/Qwen2.5-14B-Instruct-1M  
    parameters:  
      density: 1  
      weight: 1  
      lambda: 0.9  
merge_method: della  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  lambda: 0.9  
  normalize: true  
  int8_mask: true  
dtype: bfloat16  
tokenizer_source: base  
name: Qwen2.5-14B-YOYO-1010-1M
```
```yaml
models:  
  - model: Qwen/Qwen2.5-14B-Instruct  
    parameters:  
      density: 1  
      weight: 1  
      lambda: 0.9  
merge_method: della  
base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2  
parameters:  
  density: 1  
  weight: 1  
  lambda: 0.9  
  normalize: true  
  int8_mask: true  
dtype: bfloat16  
tokenizer_source: base  
name: EVA-Qwen2.5-14B-YOYO-1010
```
```yaml
models:  
  - model: Qwen/Qwen2.5-14B-Instruct-1M  
    parameters:  
      density: 1  
      weight: 1  
      lambda: 0.9  
merge_method: della  
base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2  
parameters:  
  density: 1  
  weight: 1  
  lambda: 0.9  
  normalize: true  
  int8_mask: true  
dtype: bfloat16  
tokenizer_source: base  
name: EVA-Qwen2.5-14B-YOYO-1010-1M
```
### Step 2:
```yaml
models:  
  - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2  
    parameters:  
      density: 1  
      weight: 1  
      lambda: 0.9  
merge_method: della  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  lambda: 0.9  
  normalize: true  
  int8_mask: true  
dtype: bfloat16  
tokenizer_source: base  
name: EVA-Qwen2.5-14B-base
```
```yaml
merge_method: sce  
models:  
  - model: EVA-Qwen2.5-14B-base  
base_model: Qwen/Qwen2.5-14B-Instruct-1M  
parameters:  
  select_topk: 1  
dtype: bfloat16  
tokenizer_source: base  
normalize: true  
int8_mask: true  
name: Qwen2.5-14B-pro
```
### Step 3:
```yaml
models:
  - model: Qwen2.5-14B-YOYO-1010-1M
  - model: Qwen2.5-14B-YOYO-1010
  - model: EVA-Qwen2.5-14B-YOYO-1010-1M
  - model: EVA-Qwen2.5-14B-YOYO-1010
merge_method: sce
base_model: Qwen2.5-14B-pro
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: base
name: ZYH-LLM-Qwen2.5-14B-V3-preview
```

## Second stage:
```yaml
models:  
  - model: Qwen/Qwen2.5-14B-Instruct  
    parameters:  
      density: 1  
      weight: 1  
      lambda: 0.9  
merge_method: della  
base_model: arcee-ai/Virtuoso-Small-v2  
parameters:  
  density: 1  
  weight: 1  
  lambda: 0.9  
  normalize: true  
  int8_mask: true  
dtype: bfloat16  
tokenizer_source: base  
name: Qwen2.5-14B-YOYO-della1
```
```yaml
models:  
  - model: Qwen/Qwen2.5-14B-Instruct-1M  
    parameters:  
      density: 1  
      weight: 1  
      lambda: 0.9  
merge_method: della  
base_model: arcee-ai/Virtuoso-Small-v2  
parameters:  
  density: 1  
  weight: 1  
  lambda: 0.9  
  normalize: true  
  int8_mask: true  
dtype: bfloat16  
tokenizer_source: base  
name: Qwen2.5-14B-YOYO-della2
```
```yaml
models:  
  - model: Qwen/Qwen2.5-14B-Instruct  
    parameters:  
      density: 1  
      weight: 1  
      lambda: 0.9  
merge_method: della  
base_model: Azure99/Blossom-V6-14B  
parameters:  
  density: 1  
  weight: 1  
  lambda: 0.9  
  normalize: true  
  int8_mask: true  
dtype: bfloat16  
tokenizer_source: base  
name: Qwen2.5-14B-YOYO-della3
```
```yaml
models:  
  - model: Qwen/Qwen2.5-14B-Instruct-1M  
    parameters:  
      density: 1  
      weight: 1  
      lambda: 0.9  
merge_method: della  
base_model: Azure99/Blossom-V6-14B  
parameters:  
  density: 1  
  weight: 1  
  lambda: 0.9  
  normalize: true  
  int8_mask: true  
dtype: bfloat16  
tokenizer_source: base  
name: Qwen2.5-14B-YOYO-della4
```
## Final stage:
```yaml
merge_method: model_stock
base_model: ZYH-LLM-Qwen2.5-14B-V3-preview
models:
  - model: Qwen2.5-14B-YOYO-della1
  - model: Qwen2.5-14B-YOYO-della2
  - model: Qwen2.5-14B-YOYO-della3
  - model: Qwen2.5-14B-YOYO-della4
dtype: bfloat16
tokenizer_source: base
int8_mask: true
normalize: true
name: ZYH-LLM-Qwen2.5-14B-V3
```