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LICENSE.md

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+<h2 align="center"> OPT-175B LICENSE AGREEMENT </h2>
+
+This License Agreement (as may be amended in accordance with this License Agreement, **“License”**), between you, or your employer or other entity (if you are entering into this agreement on behalf of your employer or other entity) (**“Licensee”** or **“you”**) and Meta Platforms, Inc. (**“Meta”** or **“we”**) applies to your use of any computer program, algorithm, source code, object code, or software that is made available by Meta under this License (**“Software”**) and any specifications, manuals, documentation, and other written information provided by Meta related to the Software (**“Documentation”**).
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+**By clicking “I Accept” below or by using the Software, you agree to the terms of this License.  If you do not agree to this License, then you do not have any rights to use the Software or Documentation (collectively, the “Software Products”), and you must immediately cease using the Software Products.  If you are agreeing to be bound by the terms of this License on behalf of your employer or other entity, you represent and warrant to Meta that you have full legal authority to bind your employer or such entity to this License. If you do not have the requisite authority, you may not accept the License or access the Software Products on behalf of your employer or other entity.**
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+3. **ATTRIBUTION**
+<br><br>
+   Together with any copies of the Software Products (as well as derivative works thereof or works incorporating the Software Products) that you distribute, you must provide (i) a copy of this License, and (ii) the following attribution notice: “OPT-175B is licensed under the OPT-175B license, Copyright (c) Meta Platforms, Inc. All Rights Reserved.”
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+<br><br>
+7. **TERMINATION; SURVIVAL**
+<br><br>
+   a. This License will automatically terminate upon any breach by you of the terms of this License.
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+   The Software Products may contain third-party software or other components (including free and open source software) (all of the foregoing, **“Third Party Materials”**), which are subject to the license terms of the respective third-party licensors.  Your dealings or correspondence with third parties and your use of or interaction with any Third Party Materials are solely between you and the third party.  Meta does not control or endorse, and makes no representations or warranties regarding, any Third Party Materials, and your access to and use of such Third Party Materials are at your own risk.
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+9. **TRADEMARKS**
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+   Licensee has not been granted any trademark license as part of this License and may not use any name or mark associated with Meta without the prior written permission of Meta, except to the extent necessary to make the reference required by the “ATTRIBUTION” section of this Agreement.
+<br><br>
+10. **APPLICABLE LAW; DISPUTE RESOLUTION**
+<br><br>
+   This License will be governed and construed under the laws of the State of California without regard to conflicts of law provisions.  Any suit or proceeding arising out of or relating to this License will be brought in the federal or state courts, as applicable, in San Mateo County, California, and each party irrevocably submits to the jurisdiction and venue of such courts.
+<br><br>
+11. **MISCELLANEOUS**
+<br><br>
+   If any provision or part of a provision of this License is unlawful, void or unenforceable, that provision or part of the provision is deemed severed from this License, and will not affect the validity and enforceability of any remaining provisions.  The failure of Meta to exercise or enforce any right or provision of this License will not operate as a waiver of such right or provision. This License does not confer any third-party beneficiary rights upon any other person or entity.  This License, together with the Documentation, contains the entire understanding between you and Meta regarding the subject matter of this License, and supersedes all other written or oral agreements and understandings between you and Meta regarding such subject matter.  No change or addition to any provision of this License will be binding unless it is in writing and signed by an authorized representative of both you and Meta.

README.md

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-4-bit GPTQ quantization of https://huggingface.co/KoboldAI/OPT-13B-Erebus
+---
+language: en
+license: other
+commercial: no
+inference: false
+---
+# OPT 13B - Erebus
+## Model description
+This is the second generation of the original Shinen made by Mr. Seeker. The full dataset consists of 6 different sources, all surrounding the "Adult" theme. The name "Erebus" comes from the greek mythology, also named "darkness". This is in line with Shin'en, or "deep abyss". For inquiries, please contact the KoboldAI community. **Warning: THIS model is NOT suitable for use by minors. The model will output X-rated content.**
 
-Using this fork of GPTQ: https://github.com/0cc4m/GPTQ-for-LLaMa
+## Training data
+The data can be divided in 6 different datasets:
+- Literotica (everything with 4.5/5 or higher)
+- Sexstories (everything with 90 or higher)
+- Dataset-G (private dataset of X-rated stories)
+- Doc's Lab (all stories)
+- Pike Dataset (novels with "adult" rating)
+- SoFurry (collection of various animals)
 
-python repos/gptq/opt.py --wbits 4 models/KoboldAI_OPT-13B-Erebus c4 --groupsize 128 --save models/KoboldAI_OPT-13B-Erebus/OPT-13B-Erebus-4bit-128g.pt
+The dataset uses `[Genre: <comma-separated list of genres>]` for tagging.
 
-python repos/gptq/opt.py --wbits 4 models/KoboldAI_OPT-13B-Erebus c4 --groupsize 128 --save_safetensors models/KoboldAI_OPT-13B-Erebus/OPT-13B-Erebus-4bit-128g.safetensors
+### How to use
+You can use this model directly with a pipeline for text generation. This example generates a different sequence each time it's run:
+```py
+>>> from transformers import pipeline
+>>> generator = pipeline('text-generation', model='KoboldAI/OPT-13B-Erebus')
+>>> generator("Welcome Captain Janeway, I apologize for the delay.", do_sample=True, min_length=50)
+[{'generated_text': 'Welcome Captain Janeway, I apologize for the delay."\nIt's all right," Janeway said. "I'm certain that you're doing your best to keep me informed of what\'s going on."'}]
+```
 
+## Limitations and biases
+Based on known problems with NLP technology, potential relevant factors include bias (gender, profession, race and religion). **Warning: This model has a very strong NSFW bias!**
+
+### License
+OPT-13B is licensed under the OPT-175B license, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
+
+### BibTeX entry and citation info
+```
+@misc{zhang2022opt,
+      title={OPT: Open Pre-trained Transformer Language Models}, 
+      author={Susan Zhang and Stephen Roller and Naman Goyal and Mikel Artetxe and Moya Chen and Shuohui Chen and Christopher Dewan and Mona Diab and Xian Li and Xi Victoria Lin and Todor Mihaylov and Myle Ott and Sam Shleifer and Kurt Shuster and Daniel Simig and Punit Singh Koura and Anjali Sridhar and Tianlu Wang and Luke Zettlemoyer},
+      year={2022},
+      eprint={2205.01068},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

config.json

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+{
+  "_name_or_path": "facebook/opt-13b",
+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "do_layer_norm_before": true,
+  "dropout": 0.1,
+  "eos_token_id": 2,
+  "ffn_dim": 20480,
+  "hidden_size": 5120,
+  "init_std": 0.02,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "opt",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "output_projection": true,
+  "pad_token_id": 1,
+  "prefix": "</s>",
+  "torch_dtype": "float16",
+  "transformers_version": "4.21.2",
+  "use_cache": false,
+  "vocab_size": 50265,
+  "word_embed_proj_dim": 5120,
+  "welcome": "## Warning: This model has a very heavy NSFW bias and is not suitable for use by minors!\n\nYou are currently running story-writing model `Erebus, version 1 (13B).`\n\n This model is made by [Mr. Seeker](https://www.patreon.com/mrseeker) with help of ProudNoob and the KoboldAI team.\n\n### How to use this model\n\nErebus is designed to generate short stories and novels. Use the author's note to give it a certain genre to follow, use memory to give an overview of the story and use World Information to give specific details about the characters. To start off, give the AI an idea of what you are writing about by setting the scene. Give the AI around 10 sentences that make your story interesting to read. Introduce your character, describe the world, blow something up, or let the AI use its creative mind.",
+  "antemplate": "[Genre: <|>]"
+}

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": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "name_or_path": "facebook/opt-13b",
+  "pad_token": {
+    "__type": "AddedToken",
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "special_tokens_map_file": null,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}