Update README.md

README.md

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 ---
-license: Apache License 2.0
-
-#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
+license: cc-by-nc-4.0
+tags:
+- not-for-all-audiences
+- nsfw
 ---
-### 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
 
-SDK下载
-```bash
-#安装ModelScope
-pip install modelscope
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/ysQGHLh1dd6I40rVK_jk2.png)
+
+[HIGHLY EXPERIMENTAL]
+
+(Sister model: https://huggingface.co/Undi95/Unholy-v1-12L-13B)
+
+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.
+
+Uncensored.
+
+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).
+
+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.
+
+<!-- description start -->
+## Description
+
+This repo contains fp16 files of Unholy v1, an uncensored model.
+
+<!-- description end -->
+<!-- description start -->
+## Models used
+
+- uukuguy/speechless-llama2-luban-orca-platypus-13b
+- jondurbin/spicyboros-13b-2.2
+- Undi95/MLewd-L2-13B-v2-3
+
+<!-- description end -->
+<!-- prompt-template start -->
+## Prompt template: Alpaca
+
 ```
-```python
-#SDK模型下载
-from modelscope import snapshot_download
-model_dir = snapshot_download('Undi95/Unholy-v1-10L-13B')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/Undi95/Unholy-v1-10L-13B.git
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
 ```
 
-<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>
+Exemple:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/jaZzEcPP0IET6_KX7J5Hm.png)

added_tokens.json

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+{
+  "<pad>": 32000
+}

config.json

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+{
+  "_name_or_path": "Undi95/MLewd-L2-13B-v2-3",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.33.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

model-00001-of-00003.safetensors

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model-00002-of-00003.safetensors

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model-00003-of-00003.safetensors

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<unk>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+size 131

tokenizer_config.json

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+{
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}