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README.md
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README.md
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---
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license: Apache License 2.0
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base_model:
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- prithivMLmods/QwQ-LCoT-7B-Instruct
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- Qwen/Qwen2.5-7B-Instruct
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- prithivMLmods/QwQ-LCoT2-7B-Instruct
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library_name: transformers
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tags:
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- mergekit
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- merge
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义,包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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---
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### 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。
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#### 您可以通过如下git clone命令,或者ModelScope SDK来下载模型
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# **QwQ-LCoT1-Merged**
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SDK下载
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```bash
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#安装ModelScope
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pip install modelscope
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```
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```python
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#SDK模型下载
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from modelscope import snapshot_download
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model_dir = snapshot_download('prithivMLmods/QwQ-LCoT1-Merged')
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```
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Git下载
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```
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#Git模型下载
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git clone https://www.modelscope.cn/prithivMLmods/QwQ-LCoT1-Merged.git
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```
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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.
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<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>
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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### Merge Method
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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.
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### Models Merged
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The following models were included in the merge:
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* [prithivMLmods/QwQ-LCoT-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT-7B-Instruct)
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* [prithivMLmods/QwQ-LCoT2-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT2-7B-Instruct)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: prithivMLmods/QwQ-LCoT2-7B-Instruct
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- model: prithivMLmods/QwQ-LCoT-7B-Instruct
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merge_method: model_stock
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base_model: Qwen/Qwen2.5-7B-Instruct
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normalize: true
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int8_mask: true
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dtype: bfloat16
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```
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