Upload folder using ModelScope SDK
This commit is contained in:
Cherrytest
197
README.md
197
README.md
@@ -1,47 +1,158 @@
|
||||
---
|
||||
license: Apache License 2.0
|
||||
|
||||
#model-type:
|
||||
##如 gpt、phi、llama、chatglm、baichuan 等
|
||||
#- gpt
|
||||
|
||||
#domain:
|
||||
##如 nlp、cv、audio、multi-modal
|
||||
#- nlp
|
||||
|
||||
#language:
|
||||
##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
|
||||
#- cn
|
||||
|
||||
#metrics:
|
||||
##如 CIDEr、Blue、ROUGE 等
|
||||
#- CIDEr
|
||||
|
||||
#tags:
|
||||
##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
|
||||
#- pretrained
|
||||
|
||||
#tools:
|
||||
##如 vllm、fastchat、llamacpp、AdaSeq 等
|
||||
#- vllm
|
||||
base_model:
|
||||
- mergekit-community/Qwen2.5-7B-della
|
||||
- mergekit-community/Qwen2.5-7B-ties
|
||||
- Qwen/Qwen2.5-7B-Instruct
|
||||
- Qwen/Qwen2.5-7B-Instruct-1M
|
||||
- mergekit-community/Qwen2.5-7B-ties-1M
|
||||
- Qwen/Qwen2.5-7B
|
||||
- mergekit-community/Qwen2.5-7B-della-1M
|
||||
library_name: transformers
|
||||
tags:
|
||||
- mergekit
|
||||
- merge
|
||||
license: apache-2.0
|
||||
language:
|
||||
- en
|
||||
- zh
|
||||
pipeline_tag: text-generation
|
||||
---
|
||||
### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
|
||||
#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
|
||||
# Achieve the Optimal Merged Model by Using One Basic Model and Two Fine-tuned Models!
|
||||
|
||||
SDK下载
|
||||
```bash
|
||||
#安装ModelScope
|
||||
pip install modelscope
|
||||
```
|
||||
```python
|
||||
#SDK模型下载
|
||||
from modelscope import snapshot_download
|
||||
model_dir = snapshot_download('YOYO-AI/Qwen2.5-7B-YOYO-super')
|
||||
```
|
||||
Git下载
|
||||
```
|
||||
#Git模型下载
|
||||
git clone https://www.modelscope.cn/YOYO-AI/Qwen2.5-7B-YOYO-super.git
|
||||
```
|
||||
*What is the best way to merge **one base model** and **two fine-tuned models**?*
|
||||
|
||||
<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
|
||||
## This might be the best answer at the present stage!
|
||||
|
||||
[Qwen2.5-7B-YOYO-super](https://huggingface.co/YOYO-AI/Qwen2.5-7B-YOYO-super)
|
||||
|
||||
[Qwen2.5-14B-YOYO-super](https://huggingface.co/YOYO-AI/Qwen2.5-14B-YOYO-super)
|
||||
|
||||
*This is not a whim release, but the optimal result of countless merging experiments!*
|
||||
|
||||
*Here is the formula for the **previous generation**:*
|
||||
```yaml
|
||||
models:
|
||||
- model: Qwen/Qwen2.5-7B-Instruct
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
lambda: 0.9
|
||||
- model: Qwen/Qwen2.5-7B-Instruct-1M
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
lambda: 0.9
|
||||
merge_method: della
|
||||
base_model: Qwen/Qwen2.5-7B
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
lambda: 0.9
|
||||
normalize: true
|
||||
int8_mask: true
|
||||
dtype: bfloat16
|
||||
tokenizer_source: base
|
||||
```
|
||||
*It was widely used in the merging process of the **previous generation of models***.
|
||||
|
||||
*However, there are some **deficiencies***:
|
||||
|
||||
*1.There is relatively little retention of knowledge of the basic model.*
|
||||
|
||||
*2.The mathematical and coding abilities have declined.*
|
||||
|
||||
## And here is the formula for this generation:
|
||||
```yaml
|
||||
models:
|
||||
- model: Qwen/Qwen2.5-7B-instruct
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
lambda: 0.9
|
||||
merge_method: della
|
||||
base_model: Qwen/Qwen2.5-7B
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
lambda: 0.9
|
||||
normalize: true
|
||||
int8_mask: true
|
||||
dtype: float16
|
||||
tokenizer_source: base
|
||||
name: Qwen2.5-7B-della
|
||||
```
|
||||
```yaml
|
||||
models:
|
||||
- model: Qwen/Qwen2.5-7B-instruct-1M
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
lambda: 0.9
|
||||
merge_method: della
|
||||
base_model: Qwen/Qwen2.5-7B
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
lambda: 0.9
|
||||
normalize: true
|
||||
int8_mask: true
|
||||
dtype: float16
|
||||
tokenizer_source: base
|
||||
name: Qwen2.5-7B-della-1M
|
||||
```
|
||||
```yaml
|
||||
models:
|
||||
- model: Qwen/Qwen2.5-7B-instruct
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
merge_method: ties
|
||||
base_model: Qwen/Qwen2.5-7B
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
normalize: true
|
||||
int8_mask: true
|
||||
dtype: float16
|
||||
tokenizer_source: base
|
||||
name: Qwen2.5-7B-ties
|
||||
```
|
||||
```yaml
|
||||
models:
|
||||
- model: Qwen/Qwen2.5-7B-instruct-1M
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
merge_method: ties
|
||||
base_model: Qwen/Qwen2.5-7B
|
||||
parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
normalize: true
|
||||
int8_mask: true
|
||||
dtype: float16
|
||||
tokenizer_source: base
|
||||
name: Qwen2.5-7B-ties-1M
|
||||
```
|
||||
```yaml
|
||||
merge_method: model_stock
|
||||
base_model: Qwen/Qwen2.5-7B
|
||||
models:
|
||||
- model: mergekit-community/Qwen2.5-7B-della
|
||||
- model: mergekit-community/Qwen2.5-7B-della-1M
|
||||
- model: mergekit-community/Qwen2.5-7B-ties
|
||||
- model: mergekit-community/Qwen2.5-7B-ties-1M
|
||||
- model: Qwen/Qwen2.5-7B-instruct-1M
|
||||
- model: Qwen/Qwen2.5-7B-instruct
|
||||
tokenizer_source: base
|
||||
int8_mask: true
|
||||
normalize: true
|
||||
dtype: float16
|
||||
```
|
||||
*Except for a slight decrease in instruction following, **significant improvements** have been achieved in all other aspects.*
|
||||
|
||||
*This formula will also be used in the development of **the next generation of YOYO models**.*
|
||||
|
||||
***YOYO-AI** not only releases merged models with excellent performance but also publishes a **complete and high-quality model merging formula**, hoping to promote the progress of model merging technology in the open-source community with this!*
|
||||
|
||||
### If you can use this formula when merging models, it will be the greatest support for YOYO-AI!
|
||||
Reference in New Issue
Block a user