初始化项目，由ModelHub XC社区提供模型

Model: KoboldAI/GPT-J-6B-Shinen
Source: Original Platform

.gitattributes

@@ -0,0 +1,49 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*.tfevents* filter=lfs diff=lfs merge=lfs -text
+*.db* filter=lfs diff=lfs merge=lfs -text
+*.ark* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.gguf* filter=lfs diff=lfs merge=lfs -text
+*.ggml filter=lfs diff=lfs merge=lfs -text
+*.llamafile* filter=lfs diff=lfs merge=lfs -text
+*.pt2 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,46 @@
+---
+language: en
+license: mit
+---
+# GPT-J 6B - Shinen
+## Model Description
+GPT-J 6B-Shinen is a finetune created using EleutherAI's GPT-J 6B model. Compared to GPT-Neo-2.7-Horni, this model is much heavier on the sexual content.
+**Warning: THIS model is NOT suitable for use by minors. The model will output X-rated content.**
+## Training data
+The training data contains user-generated stories from sexstories.com. All stories are tagged using the following way:
+```
+[Theme: <theme1>, <theme2> ,<theme3>]
+<Story goes here>
+```
+### 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/GPT-J-6B-Shinen')
+>>> generator("She was staring at me", do_sample=True, min_length=50)
+[{'generated_text': 'She was staring at me with a look that said it all. She wanted me so badly tonight that I wanted'}]
+```
+### Limitations and Biases
+
+The core functionality of GPT-J is taking a string of text and predicting the next token. While language models are widely used for tasks other than this, there are a lot of unknowns with this work. When prompting GPT-J it is important to remember that the statistically most likely next token is often not the token that produces the most "accurate" text. Never depend upon GPT-J to produce factually accurate output.
+
+GPT-J was trained on the Pile, a dataset known to contain profanity, lewd, and otherwise abrasive language. Depending upon use case GPT-J may produce socially unacceptable text. See [Sections 5 and 6 of the Pile paper](https://arxiv.org/abs/2101.00027) for a more detailed analysis of the biases in the Pile.
+
+As with all language models, it is hard to predict in advance how GPT-J will respond to particular prompts and offensive content may occur without warning. We recommend having a human curate or filter the outputs before releasing them, both to censor undesirable content and to improve the quality of the results.
+
+### BibTeX entry and citation info
+The model uses the following model as base:
+```bibtex
+@misc{gpt-j,
+  author = {Wang, Ben and Komatsuzaki, Aran},
+  title = {{GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model}},
+  howpublished = {\url{https://github.com/kingoflolz/mesh-transformer-jax}},
+  year = 2021,
+  month = May
+}
+```
+
+## Acknowledgements
+
+This project would not have been possible without compute generously provided by Google through the
+[TPU Research Cloud](https://sites.research.google/trc/), as well as the Cloud TPU team for providing early access to the [Cloud TPU VM](https://cloud.google.com/blog/products/compute/introducing-cloud-tpu-vms) Alpha.

added_tokens.json

@@ -0,0 +1 @@
+{"<|extratoken_14|>": 50270, "<|extratoken_121|>": 50377, "<|extratoken_3|>": 50259, "<|extratoken_25|>": 50281, "<|extratoken_101|>": 50357, "<|extratoken_138|>": 50394, "<|extratoken_10|>": 50266, "<|extratoken_21|>": 50277, "<|extratoken_32|>": 50288, "<|extratoken_46|>": 50302, "<|extratoken_22|>": 50278, "<|extratoken_40|>": 50296, "<|extratoken_96|>": 50352, "<|extratoken_92|>": 50348, "<|extratoken_95|>": 50351, "<|extratoken_141|>": 50397, "<|extratoken_78|>": 50334, "<|extratoken_86|>": 50342, "<|extratoken_56|>": 50312, "<|extratoken_124|>": 50380, "<|extratoken_127|>": 50383, "<|extratoken_122|>": 50378, "<|extratoken_123|>": 50379, "<|extratoken_111|>": 50367, "<|extratoken_93|>": 50349, "<|extratoken_130|>": 50386, "<|extratoken_113|>": 50369, "<|extratoken_50|>": 50306, "<|extratoken_97|>": 50353, "<|extratoken_1|>": 50257, "<|extratoken_55|>": 50311, "<|extratoken_34|>": 50290, "<|extratoken_143|>": 50399, "<|extratoken_62|>": 50318, "<|extratoken_74|>": 50330, "<|extratoken_136|>": 50392, "<|extratoken_117|>": 50373, "<|extratoken_38|>": 50294, "<|extratoken_120|>": 50376, "<|extratoken_39|>": 50295, "<|extratoken_65|>": 50321, "<|extratoken_29|>": 50285, "<|extratoken_104|>": 50360, "<|extratoken_13|>": 50269, "<|extratoken_5|>": 50261, "<|extratoken_107|>": 50363, "<|extratoken_19|>": 50275, "<|extratoken_84|>": 50340, "<|extratoken_77|>": 50333, "<|extratoken_135|>": 50391, "<|extratoken_24|>": 50280, "<|extratoken_134|>": 50390, "<|extratoken_15|>": 50271, "<|extratoken_67|>": 50323, "<|extratoken_89|>": 50345, "<|extratoken_2|>": 50258, "<|extratoken_73|>": 50329, "<|extratoken_129|>": 50385, "<|extratoken_126|>": 50382, "<|extratoken_30|>": 50286, "<|extratoken_41|>": 50297, "<|extratoken_28|>": 50284, "<|extratoken_114|>": 50370, "<|extratoken_128|>": 50384, "<|extratoken_118|>": 50374, "<|extratoken_131|>": 50387, "<|extratoken_68|>": 50324, "<|extratoken_125|>": 50381, "<|extratoken_103|>": 50359, "<|extratoken_8|>": 50264, "<|extratoken_64|>": 50320, "<|extratoken_52|>": 50308, "<|extratoken_45|>": 50301, "<|extratoken_43|>": 50299, "<|extratoken_18|>": 50274, "<|extratoken_139|>": 50395, "<|extratoken_85|>": 50341, "<|extratoken_88|>": 50344, "<|extratoken_63|>": 50319, "<|extratoken_4|>": 50260, "<|extratoken_48|>": 50304, "<|extratoken_112|>": 50368, "<|extratoken_17|>": 50273, "<|extratoken_49|>": 50305, "<|extratoken_108|>": 50364, "<|extratoken_110|>": 50366, "<|extratoken_42|>": 50298, "<|extratoken_70|>": 50326, "<|extratoken_6|>": 50262, "<|extratoken_35|>": 50291, "<|extratoken_23|>": 50279, "<|extratoken_66|>": 50322, "<|extratoken_60|>": 50316, "<|extratoken_71|>": 50327, "<|extratoken_51|>": 50307, "<|extratoken_133|>": 50389, "<|extratoken_20|>": 50276, "<|extratoken_76|>": 50332, "<|extratoken_81|>": 50337, "<|extratoken_142|>": 50398, "<|extratoken_116|>": 50372, "<|extratoken_57|>": 50313, "<|extratoken_75|>": 50331, "<|extratoken_37|>": 50293, "<|extratoken_33|>": 50289, "<|extratoken_16|>": 50272, "<|extratoken_61|>": 50317, "<|extratoken_7|>": 50263, "<|extratoken_12|>": 50268, "<|extratoken_36|>": 50292, "<|extratoken_80|>": 50336, "<|extratoken_98|>": 50354, "<|extratoken_105|>": 50361, "<|extratoken_91|>": 50347, "<|extratoken_53|>": 50309, "<|extratoken_137|>": 50393, "<|extratoken_9|>": 50265, "<|extratoken_79|>": 50335, "<|extratoken_83|>": 50339, "<|extratoken_109|>": 50365, "<|extratoken_99|>": 50355, "<|extratoken_140|>": 50396, "<|extratoken_72|>": 50328, "<|extratoken_11|>": 50267, "<|extratoken_94|>": 50350, "<|extratoken_26|>": 50282, "<|extratoken_59|>": 50315, "<|extratoken_106|>": 50362, "<|extratoken_115|>": 50371, "<|extratoken_58|>": 50314, "<|extratoken_90|>": 50346, "<|extratoken_31|>": 50287, "<|extratoken_102|>": 50358, "<|extratoken_47|>": 50303, "<|extratoken_100|>": 50356, "<|extratoken_82|>": 50338, "<|extratoken_44|>": 50300, "<|extratoken_69|>": 50325, "<|extratoken_54|>": 50310, "<|extratoken_132|>": 50388, "<|extratoken_27|>": 50283, "<|extratoken_87|>": 50343, "<|extratoken_119|>": 50375}

config.json

@@ -0,0 +1,38 @@
+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPTJForCausalLM"
+  ],
+  "attn_pdrop": 0.0,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gptj",
+  "n_embd": 4096,
+  "n_head": 16,
+  "n_layer": 28,
+  "n_positions": 2048,
+  "rotary_dim": 64,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.10.0.dev0",
+  "tokenizer_class": "GPT2Tokenizer",
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "temperature": 1.0,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float16",
+  "use_cache": true,
+  "vocab_size": 50400,
+  "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 `Shinen, version 2.`\n\n This model is made by [Mr. Seeker](https://www.patreon.com/mrseeker)\n\n### How to use this model\n\nShinen is designed to generate short stories and novels. Use the authors note to give it a certain genre to follow, use memory to give an overview of the story and use World Information to give it specific details about the characters. To start off, give the AI an idea what you are writing about by setting the scene. Give the AI around 10 sentences that make your story reall interesting to read. Introduce your character, describe the world, blow something up, or let the AI use it's creative mind.",
+  "antemplate": "[Theme: <|>]"
+}

configuration.json

@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd600dca0d1d41fc36cc4c09e18505cfcc9425bda29a1d06056153fcbbca05be
+size 12106053103

special_tokens_map.json

@@ -0,0 +1 @@
+{"bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f758fc1ee05a0775387ad8fa3983fab0c40e4a05cf6b7aea00a29e696cd6205c
+size 1373465

tokenizer_config.json

@@ -0,0 +1 @@
+{"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "errors": "replace", "model_max_length": 2048, "special_tokens_map_file": null, "name_or_path": "gpt-j-6B", "from_slow": true, "tokenizer_class": "GPT2Tokenizer"}