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Model: Undi95/Unholy-v1-12L-13B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- not-for-all-audiences
+- nsfw
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/ysQGHLh1dd6I40rVK_jk2.png)
+
+[HIGHLY EXPERIMENTAL]
+
+(Sister model: https://huggingface.co/Undi95/Unholy-v1-10L-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).
+
+12L : 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 8 layers to add 8 layers of MLewd at the beginning, and do the same from layers 16 to 20, trying to break all censoring possible, before merging the output with MLewd at 0.33 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
+
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
+```
+
+Exemple:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/jaZzEcPP0IET6_KX7J5Hm.png)
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__Unholy-v1-12L-13B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 50.65   |
+| ARC (25-shot)         | 63.57          |
+| HellaSwag (10-shot)   | 83.75    |
+| MMLU (5-shot)         | 58.08         |
+| TruthfulQA (0-shot)   | 51.09   |
+| Winogrande (5-shot)   | 77.27   |
+| GSM8K (5-shot)        | 11.07        |
+| DROP (3-shot)         | 9.73         |

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}

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special_tokens_map.json

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tokenizer_config.json

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+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "LlamaTokenizer",
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+  "use_default_system_prompt": true
+}