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README.md
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README.md
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license: Apache License 2.0
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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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license: cc-by-nc-4.0
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tags:
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- not-for-all-audiences
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- nsfw
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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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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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[HIGHLY EXPERIMENTAL]
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(Sister model: https://huggingface.co/Undi95/Unholy-v1-12L-13B)
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Use at your own risk, I'm not responsible for any usage of this model, don't try to do anything this model tell you to do.
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Uncensored.
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If you are censored, it's maybe because of keyword like "assistant", "Factual answer", or other "sweet words" like I call them that trigger the censoring accross all the layer of the model (since they're all trained on some of them in a way).
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10L : This is a test project, uukuguy/speechless-llama2-luban-orca-platypus-13b and jondurbin/spicyboros-13b-2.2 was used for a merge, then, I deleted the first 10 layers to add 10 layers of MLewd at the beginning, trying to break all censoring possible, before merging the output with MLewd at 0.66 weight.
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<!-- description start -->
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## Description
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This repo contains fp16 files of Unholy v1, an uncensored model.
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<!-- description end -->
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<!-- description start -->
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## Models used
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- uukuguy/speechless-llama2-luban-orca-platypus-13b
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- jondurbin/spicyboros-13b-2.2
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- Undi95/MLewd-L2-13B-v2-3
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<!-- description end -->
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<!-- prompt-template start -->
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## Prompt template: Alpaca
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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('Undi95/Unholy-v1-10L-13B')
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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/Undi95/Unholy-v1-10L-13B.git
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{prompt}
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### Response:
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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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Exemple:
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