pygmalion-2-7b

Maintainer: PygmalionAI

Total Score

52

Last updated 5/17/2024

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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-2-7b is an instruction-tuned Llama-2 7B model developed by PygmalionAI that is biased towards fiction writing and conversation. It was fine-tuned on a mixture of regular instruction data alongside roleplay, fictional stories, and conversations with synthetically generated instructions. Similar models include the pygmalion-2-13b, which is a 13B version of the model, and the metharme-7b, which is an earlier experiment in this space.

Model inputs and outputs

The pygmalion-2-7b model takes in text prompts and generates text outputs. The prompts use a specific format with different roles denoted by <|system|>, <|user|>, and <|model|> tokens. The system prompt can be used to set the model's context, the user prompt indicates user input, and the model token signals that the model should generate a response.

Inputs

  • Prompts: Text prompts using the role tokens to set context, provide user input, and signal the model to generate a response.

Outputs

  • Generated text: The model will generate text outputs in response to the provided prompts, automatically emitting an end-of-text token when the response is complete.

Capabilities

The pygmalion-2-7b model is capable of generating fictional stories, roleplaying scenarios, and engaging conversations. It can be guided using natural language prompts to take on different personas and respond accordingly. The model has been trained on a diverse dataset, allowing it to draw from a wide range of knowledge and styles.

What can I use it for?

The pygmalion-2-7b model is well-suited for creative writing and storytelling applications. It could be used to assist authors in generating ideas, drafting narratives, or collaborating on fictional worlds. The model's conversational abilities also make it a potential tool for interactive fiction, chatbots, or other dialogue-driven experiences.

For businesses, the model could be leveraged to generate engaging content for marketing, entertainment, or customer interaction purposes. It could also be fine-tuned further for specific use cases or integrated into larger AI-powered applications.

Things to try

One interesting thing to try with the pygmalion-2-7b model is to experiment with different personas and prompting styles. The model's flexibility allows it to take on a wide range of characters and respond in various tones and voices. You could try prompting it to play the role of a whimsical wizard, a brooding detective, or a jolly pirate, and see how it adapts its language and storytelling to fit the character.

Another idea is to use the model to collaboratively build out a fictional world or narrative. Start with a high-level prompt, then take turns adding details, plot points, and dialogue, letting the model fill in the gaps and build upon the shared vision. This interactive approach could lead to unexpected and engaging results.



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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