Update README.md

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by IAMJB - opened
Qwen2-7B-Instruct/README.md ADDED
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+ Please download Qwen2-7B-Instruct manually.
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+
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+ Qwen2-7B-Instruct can be downloaded from HuggingFace or ModelScope by:
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+
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+ ```
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+ # from huggingface
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+ git clone https://huggingface.co/Qwen/Qwen2-7B-Instruct
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+
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+ # from modelscope
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+ git clone https://modelscope.cn/models/qwen/Qwen2-7B-Instruct
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+ ```
README.md CHANGED
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- ---
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- frameworks:
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- - Pytorch
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- license: MIT License
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- tasks:
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- - auto-speech-recognition
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-
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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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-
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- #domain:
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- ##如 nlp、cv、audio、multi-modal
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- #- nlp
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-
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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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-
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- #metrics:
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- ##如 CIDEr、Blue、ROUGE 等
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- #- CIDEr
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-
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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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-
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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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-
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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('MooreThreadsSpeech/MooER-MTL-5K')
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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/MooreThreadsSpeech/MooER-MTL-5K.git
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- ```
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-
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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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+ license: mit
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+
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+ ```
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+ @misc{xu2024mooerllmbasedspeechrecognition,
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+ title={MooER: LLM-based Speech Recognition and Translation Models from Moore Threads},
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+ author={Junhao Xu and Zhenlin Liang and Yi Liu and Yichao Hu and Jian Li and Yajun Zheng and Meng Cai and Hua Wang},
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+ year={2024},
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+ eprint={2408.05101},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2408.05101},
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+ }
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+ ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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+ ### Framework versions
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+
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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