Update README.md

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README.md

@@ -1,47 +1,42 @@
 ---
-license: Apache License 2.0
+base_model:
+- prithivMLmods/QwQ-LCoT-7B-Instruct
+- Qwen/Qwen2.5-7B-Instruct
+- prithivMLmods/QwQ-LCoT2-7B-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。
+# **QwQ-LCoT1-Merged**
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
 
-SDK下载
+The QwQ-LCoT-7B-Instruct is a fine-tuned language model designed for advanced reasoning and instruction-following tasks. It leverages the Qwen2.5-7B base model and has been fine-tuned on the chain of thought reasoning datasets, focusing on chain-of-thought (CoT) reasoning for problems. This model is optimized for tasks requiring logical reasoning, detailed explanations, and multi-step problem-solving, making it ideal for applications such as instruction-following, text generation, and complex reasoning tasks.
-```bash
-#安装ModelScope
-pip install modelscope
-```
-```python
-#SDK模型下载
-from modelscope import snapshot_download
-model_dir = snapshot_download('prithivMLmods/QwQ-LCoT1-Merged')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/prithivMLmods/QwQ-LCoT1-Merged.git
-```
 
-<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 is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+### Merge Method
+
+This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [prithivMLmods/QwQ-LCoT-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT-7B-Instruct)
+* [prithivMLmods/QwQ-LCoT2-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT2-7B-Instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: prithivMLmods/QwQ-LCoT2-7B-Instruct
+  - model: prithivMLmods/QwQ-LCoT-7B-Instruct
+merge_method: model_stock
+base_model: Qwen/Qwen2.5-7B-Instruct
+normalize: true
+int8_mask: true
+dtype: bfloat16
+
+```

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+  "vocab_size": 152064
+}

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+  - model: prithivMLmods/QwQ-LCoT-7B-Instruct
+merge_method: model_stock
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