Llama-3-Soliloquy-8B-v1
Maintainer: openlynn
47
🗣️
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
Llama-3-Soliloquy-8B-v1 is a fast, highly capable roleplaying model designed for immersive, dynamic experiences. Trained on over 250 million tokens of roleplaying data, Soliloquy-L3 has a vast knowledge base, rich literary expression, and support for up to 24k context length. It outperforms existing ~13B models, delivering enhanced roleplaying capabilities.
The Llama-3-Soliloquy-8B-v2 model is an updated version with 100% retrieval, better instruction following, and the same key features as the v1 model. Both models are created by the maintainer openlynn, who specializes in AI models for roleplaying and creative tasks.
Model inputs and outputs
Inputs
- Text prompts or messages in a conversation
Outputs
- Generated text responses to continue the conversation or roleplay experience
Capabilities
The Llama-3-Soliloquy-8B models excel at immersive roleplaying and storytelling. They can engage in dynamic conversations, take on distinct character personalities, and produce rich, literary-style text. These models are particularly well-suited for 1-on-1 roleplay sessions, interactive narratives, and collaborative worldbuilding.
What can I use it for?
The Llama-3-Soliloquy-8B models are ideal for developing interactive virtual experiences, from tabletop RPG campaigns to choose-your-own-adventure stories. They can power AI companions, non-player characters, and narrative game engines. Creators in the TTRPG and interactive fiction communities may find these models highly useful for enhancing their projects.
Things to try
Experiment with different character prompts and backstories to see how the model adapts its responses. Try guiding the conversation in unexpected directions to witness the model's flexibility and capacity for improvisation. Additionally, you can combine these models with other language AI tools to create more complex interactive experiences, such as integrating them with visual novel engines or mixed-reality applications.
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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