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PygmalionAI
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pygmalion-6b

Text Generation
Transformers
PyTorch
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gptj
text generation
conversational
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  1. .gitattributes +34 -0
  2. README.md +59 -0
  3. added_tokens.json +145 -0
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  7. pytorch_model-00002-of-00002.bin +3 -0
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  9. runs/events.out.tfevents.1672953635.uft-2.1037250.0 +3 -0
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  21. special_tokens_map.json +24 -0
  22. tokenizer.json +0 -0
  23. tokenizer_config.json +32 -0
  24. vocab.json +0 -0
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README.md ADDED
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+ ---
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+ license: creativeml-openrail-m
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+ language:
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+ - en
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+ thumbnail:
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+ tags:
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+ - text generation
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+ - conversational
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+ inference: false
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+ ---
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+
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+ # Pygmalion 6B
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+
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+ ## Model description
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+
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+ Pymalion 6B is a proof-of-concept dialogue model based on EleutherAI's [GPT-J-6B](https://huggingface.co/EleutherAI/gpt-j).
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+
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+ **Warning:** This model is **NOT** suitable for use by minors. It **will** output X-rated content under certain circumstances.
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+
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+ ## Training data
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+
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+ The fine-tuning dataset consisted of 56MB of dialogue data gathered from multiple sources, which includes both real _and_ partially machine-generated conversations.
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+
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+ ## Training procedure
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+
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+ Model weights were initialized from the `uft-6b` ConvoGPT model made available in [this commit](https://huggingface.co/hakurei/convogpt/tree/41b67bfddb6cd97070ffddf708e9720c9cb8d224/6b-uft).
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+
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+ The model was then further fine-tuned on ~48.5 million tokens for ~5k steps on 4 NVIDIA A40s using DeepSpeed.
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+
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+ ## Intended use
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+
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+ ### The easy way
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+
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+ We plan to provide a notebook with a Gradio UI for playing around with the model shortly. Until then, please refer to the section below for manual usage.
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+
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+ ### The manual way
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+
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+ 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:
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+
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+ ```
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+ [CHARACTER]'s Persona: [A few sentences about the character you want the model to play]
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+ <START>
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+ [DIALOGUE HISTORY]
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+ You: [Your input message here]
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+ [CHARACTER]:
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+ ```
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+
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+ 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:
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+
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+ ```
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+ [CHARACTER]: [some dialogue here]
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+ You: [your response to the dialogue above]
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+ ```
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+
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+ 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.
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+
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+ ## Known issues
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+
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+ We haven't played around with the model enough to enumerate them. Feel free to give us some feedback!
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