pygmalion-13b

Maintainer: PygmalionAI

Total Score

109

Last updated 5/28/2024

🐍

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

pygmalion-13b is a conversational language model based on Meta's LLaMA-13B. It has been fine-tuned using a subset of the data from the Pygmalion-6B-v8-pt4 project. This model is version 1 and is part of the Pygmalion line of dialogue models from PygmalionAI.

The pygmalion-7b model is a similar conversational model based on the LLaMA-7B, also fine-tuned using Pygmalion-6B-v8-pt4 data. Both models follow the usual Pygmalion persona and chat format.

Model inputs and outputs

Inputs

  • Text prompt: The model expects input text following a specific format, including the character's persona and dialogue history.

Outputs

  • Generated text: The model outputs generated text responses continuing the dialogue.

Capabilities

The pygmalion-13b model is designed for open-ended conversational tasks. It is capable of engaging in back-and-forth dialogues, taking on different personas, and generating relevant and coherent responses. The model can discuss a wide range of topics, drawing upon its broad knowledge base.

What can I use it for?

The pygmalion-13b model can be used for various interactive applications, such as chatbots, virtual assistants, or creative writing tools. Its conversational abilities make it well-suited for applications where natural language interaction is important, like customer service, education, or interactive entertainment.

Things to try

One interesting aspect of the pygmalion-13b model is its ability to adapt to different personas and styles of interaction. You could experiment with providing varied persona descriptions to see how the model responds and develops the character over the course of a conversation. Additionally, trying out different prompting strategies, such as including more or less dialogue history, can yield interesting results and insights about the model's capabilities.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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