| | --- |
| | 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! |
| |
|
