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---
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。
#### 您可以通过如下git clone命令或者ModelScope SDK来下载模型
# **QwQ-LCoT1-Merged**
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('prithivMLmods/QwQ-LCoT1-Merged')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/prithivMLmods/QwQ-LCoT1-Merged.git
```
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.
<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
```