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Duplicate from PygmalionAI/pygmalion-6b
Browse filesCo-authored-by: 0x000011b <[email protected]>
- .gitattributes +34 -0
- README.md +60 -0
- added_tokens.json +145 -0
- config.json +41 -0
- merges.txt +0 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +348 -0
- runs/events.out.tfevents.1672953635.uft-2.1037250.0 +3 -0
- runs/events.out.tfevents.1672954410.uft-2.1044935.0 +3 -0
- runs/events.out.tfevents.1672955570.uft-2.1055948.0 +3 -0
- runs/events.out.tfevents.1672956702.uft-2.1066484.0 +3 -0
- runs/events.out.tfevents.1672957209.uft-2.1071189.0 +3 -0
- runs/events.out.tfevents.1672964235.uft-2.1134893.0 +3 -0
- runs/events.out.tfevents.1672964557.uft-2.1138191.0 +3 -0
- runs/events.out.tfevents.1672974217.uft-2.1224302.0 +3 -0
- runs/events.out.tfevents.1672974396.uft-2.1226068.0 +3 -0
- runs/events.out.tfevents.1672974541.uft-2.1227652.0 +3 -0
- runs/events.out.tfevents.1673061987.uft-2.2002177.0 +3 -0
- runs/events.out.tfevents.1673062187.uft-2.2004200.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +32 -0
- vocab.json +0 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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README.md
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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: null
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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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duplicated_from: PygmalionAI/pygmalion-6b
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---
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# Pygmalion 6B
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## Model description
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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-6B).
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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-6b` ConvoGPT model made available in [this commit](https://huggingface.co/hakurei/convogpt/tree/41b67bfddb6cd97070ffddf708e9720c9cb8d224/6b-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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added_tokens.json
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{
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}
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config.json
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