practicaldreamer
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README.md
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datasets:
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- practicaldreamer/RPGPT_PublicDomain-ShareGPT
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---
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## Expected Prompt Format
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```
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A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
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## Scenario:
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<Scenario Description>
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ASSISTANT:
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<User-Character Name>: \*<1st person action/sensations/thoughts>\* <Spoken Word> \*<1st person action/sensations/thoughts>\*
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<Bot-Character Name>: \*<1st person action/sensations/thoughts>\* <Spoken Word> \*<1st person action/sensations/thoughts>\*
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<User-Character Name>: \*<1st person action/sensations/thoughts>\* <Spoken Word> \*<1st person action/sensations/thoughts>\*
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...
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```
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## Example (User is Baloo from The Jungle Book Bot is Queen of Hearts from Alice in Wonderland)
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A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
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Baloo: *bows graciously but maintains eye contact* Begging your pardon, Your Majesty. My name is Baloo, and I've heard tales of your... unique temperament.
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The Queen of Hearts:
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```
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---
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license: mit
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---
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datasets:
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- practicaldreamer/RPGPT_PublicDomain-ShareGPT
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---
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## Introduction
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This is my first attempt at training a model for long form character interaction using asterisk roleplay format.
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There are plenty of general instruction/answer models but most focus on single responses between an ai and a human.
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My goal for this project is to more closely align the training data with CHARACTER interactions for roleplay.
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This model is trained on a small synthetic dataset of characters interacting through a variety of scenarios.
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The Characters, Scenarios and interactions were all generated by GPT4.
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Intended for research, creative writing, entertainment, DnD campaigns? fun!
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## Train Summary
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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Duration: ~4hrs
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GPU: 1xA100 80GB
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Epochs: 1.08
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Speed: 3e-5
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Sequence_len: 2048
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gradient_accumulation_steps: 32
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wandb link: https://wandb.ai/practicaldreamer/rpgpt/runs/d4gsi8vy
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*Please see the documentation folder for more information*
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## Usage
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This LoRA was trained for use with **Neko-Institute-of-Science/LLaMA-30B-HF**
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Follow the expected Prompt Format.
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## Expected Prompt Format
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**Context/Memory**
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```
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A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
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## Scenario:
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<Scenario Description>
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ASSISTANT:
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```
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**Turn Template**
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```
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<User-Character Name>: \*<1st person action/sensations/thoughts>\* <Spoken Word> \*<1st person action/sensations/thoughts>\*
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<Bot-Character Name>: \*<1st person action/sensations/thoughts>\* <Spoken Word> \*<1st person action/sensations/thoughts>\*
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<User-Character Name>: \*<1st person action/sensations/thoughts>\* <Spoken Word> \*<1st person action/sensations/thoughts>\*
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...
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```
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## Example (User is Baloo from The Jungle Book. Bot is Queen of Hearts from Alice in Wonderland)
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```
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A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
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Baloo: *bows graciously but maintains eye contact* Begging your pardon, Your Majesty. My name is Baloo, and I've heard tales of your... unique temperament.
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The Queen of Hearts:
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```
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## Thanks
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openaccess-ai-collective https://huggingface.co/openaccess-ai-collective
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---
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license: mit
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---
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