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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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# Pygmalion 2.7B |
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## Model description |
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Pymalion 2.7B is a proof-of-concept dialogue model based on EleutherAI's [gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B). |
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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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Model weights were initialized from the `uft-2.7b` ConvoGPT model made available in [this commit](https://huggingface.co/hakurei/convogpt/tree/07707377dee0aa7d1ee5363ef660b13eb5b73f9d/2.7b-uft). |
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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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## 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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<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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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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[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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We haven't played around with the model enough to enumerate them. Feel free to give us some feedback! |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_PygmalionAI__pygmalion-2.7b) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 30.32 | |
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| ARC (25-shot) | 32.76 | |
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| HellaSwag (10-shot) | 54.13 | |
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| MMLU (5-shot) | 23.28 | |
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| TruthfulQA (0-shot) | 37.17 | |
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| Winogrande (5-shot) | 56.51 | |
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| GSM8K (5-shot) | 0.0 | |
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| DROP (3-shot) | 8.41 | |
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