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README.md

@@ -1,47 +1,45 @@
 ---
-license: Apache License 2.0
+base_model:
+- Qwen/Qwen2.5-Coder-3B
+- Qwen/Qwen2.5-Coder-3B-instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
 
-#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
 ---
-### 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
+# merge
 
-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-Coder-3B-YOYO')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/YOYO-AI/Qwen2.5-Coder-3B-YOYO.git
-```
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-<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>
+## Merge Details
+### Merge Method
+
+This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using [Qwen/Qwen2.5-Coder-3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Qwen/Qwen2.5-Coder-3B-instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Qwen/Qwen2.5-Coder-3B-instruct
+    parameters:
+      density: 1 
+      weight: 1
+      lambda: 0.9
+merge_method: della
+base_model: Qwen/Qwen2.5-Coder-3B
+parameters:
+  density: 1
+  weight: 1
+  lambda: 0.9
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+```