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README.md

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+---
+license: creativeml-openrail-m
+language:
+- en
+thumbnail:
+tags:
+- text generation
+- conversational
+inference: false
+---
+
+# Pygmalion 6B
+
+## Model description
+
+Pymalion 6B is a proof-of-concept dialogue model based on EleutherAI's [GPT-J-6B](https://huggingface.co/EleutherAI/gpt-j-6B).
+
+**Warning:** This model is **NOT** suitable for use by minors. It **will** output X-rated content under certain circumstances.
+
+## Training data
+
+The fine-tuning dataset consisted of 56MB of dialogue data gathered from multiple sources, which includes both real _and_ partially machine-generated conversations.
+
+## Training procedure
+
+Model weights were initialized from the `uft-6b` ConvoGPT model made available in [this commit](https://huggingface.co/hakurei/convogpt/tree/41b67bfddb6cd97070ffddf708e9720c9cb8d224/6b-uft).
+
+The model was then further fine-tuned on ~48.5 million tokens for ~5k steps on 4 NVIDIA A40s using DeepSpeed.
+
+## Intended use
+
+### The easy way
+
+We provide a notebook with a Gradio UI for playing around with the model without having to manually format inputs. This notebook can be found [here](https://github.com/PygmalionAI/gradio-ui/blob/master/notebooks/GPU.ipynb).
+
+### The manual way
+
+The model can be used as a regular text generation model, but it'll perform best if the input prompt adheres to the following format:
+
+```
+[CHARACTER]'s Persona: [A few sentences about the character you want the model to play]
+<START>
+[DIALOGUE HISTORY]
+You: [Your input message here]
+[CHARACTER]:
+```
+
+Where `[CHARACTER]` is, as you can probably guess, the name of the character you want the model to portray, `<START>` should be used verbatim as a delimiter token to separate persona and scenario data from the dialogue, and `[DIALOGUE HISTORY]` is chat history so the model can have some conversational context to draw from. Ideally it'll be pairs of messages like:
+
+```
+[CHARACTER]: [some dialogue here]
+You: [your response to the dialogue above]
+```
+
+Apart from chat history, you can also just add example conversations in `[DIALOGUE HISTORY]` to show how the character should speak - ideally at the beginning, so it doesn't get confused as to what's conversation history vs. character definition.
+
+## Known issues
+
+We haven't played around with the model enough to enumerate them. Feel free to give us some feedback!

added_tokens.json

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config.json

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+  "_name_or_path": "pygmalion-6b",
+  "activation_function": "gelu_new",
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+    "GPTJForCausalLM"
+  ],
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+  "summary_activation": null,
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+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50,
+      "temperature": 1.0
+    }
+  },
+  "tie_word_embeddings": false,
+  "tokenizer_class": "GPT2Tokenizer",
+  "torch_dtype": "float16",
+  "transformers_version": "4.26.0.dev0",
+  "use_cache": true,
+  "vocab_size": 50400
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+    "transformer.h.7.mlp.fc_out.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.attn.bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.attn.masked_bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.attn.out_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.ln_1.bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.ln_1.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.mlp.fc_in.bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.mlp.fc_in.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.mlp.fc_out.bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.8.mlp.fc_out.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.attn.bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.attn.masked_bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.attn.out_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.ln_1.bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.ln_1.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.mlp.fc_in.bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.mlp.fc_in.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.mlp.fc_out.bias": "pytorch_model-00001-of-00002.bin",
+    "transformer.h.9.mlp.fc_out.weight": "pytorch_model-00001-of-00002.bin",
+    "transformer.ln_f.bias": "pytorch_model-00002-of-00002.bin",
+    "transformer.ln_f.weight": "pytorch_model-00002-of-00002.bin",
+    "transformer.wte.weight": "pytorch_model-00001-of-00002.bin"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,32 @@
+{
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "model_max_length": 1024,
+  "name_or_path": "pygmalion-6b",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}