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--- |
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license: agpl-3.0 |
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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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# Pygmalion 1.3B |
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## Model description |
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Pymalion 1.3B is a proof-of-concept dialogue model based on EleutherAI's [pythia-1.3b-deduped](https://huggingface.co/EleutherAI/pythia-1.3b-deduped). |
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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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## Training data |
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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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## Training procedure |
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Fine-tuning was done using [ColossalAI](https://github.com/hpcaitech/ColossalAI) (specifically, with a slightly modified version of their [OPT fine-tune example](https://github.com/hpcaitech/ColossalAI/blob/78509124d32b63b7fc36f6508e0576a326d51422/examples/language/opt/run_clm.py)) for around 11.4 million tokens over 5440 steps on a single 24GB GPU. The run took just under 21 hours. |
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## Intended use |
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### The easy way |
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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). |
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### The manual way |
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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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[CHARACTER]'s Persona: [A few sentences about the character you want the model to play] |
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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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Where `[CHARACTER] `is, as you can probably guess, the name of the character you want the model to portray, 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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[CHARACTER]: [some dialogue here] |
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You: [your response to the dialogue above] |
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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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## Known issues |
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- The model can get stuck repeating certain phrases, or sometimes even entire sentences. |
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- We believe this is due to that behavior being present in the training data itself, and plan to investigate and adjust accordingly for future versions. |
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