Openlynn
Models by this creator
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Llama-3-Soliloquy-8B-v2
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The Llama-3-Soliloquy-8B-v2 model is a highly capable roleplaying model designed for immersive, dynamic experiences. Trained on over 250 million tokens of roleplaying data, it has a vast knowledge base, rich literary expression, and support for up to 24k context length. The model outperforms existing ~13B models, delivering enhanced roleplaying capabilities. According to the maintainer openlynn, the model has been improved with 100% retrieval and better instruction following capabilities compared to previous versions. It is a part of the LYNN - AI for Roleplay suite of roleplaying models. Model inputs and outputs Inputs Text input for roleplaying scenarios and conversations Outputs Relevant and engaging responses in a literary style, tailored to the roleplaying context Capabilities The Llama-3-Soliloquy-8B-v2 model is designed to excel at immersive roleplaying experiences. It can engage in dynamic, multi-turn conversations, drawing upon its vast knowledge to deliver rich and appropriate responses. The model is adept at maintaining character personalities, progressing narratives, and responding to complex prompts with nuance and creativity. What can I use it for? The Llama-3-Soliloquy-8B-v2 model can be a valuable tool for interactive fiction, tabletop roleplaying games, creative writing, and other applications that require an AI assistant capable of sophisticated literary expression and roleplaying. Developers and content creators can integrate the model into their projects to enable immersive, user-driven storytelling experiences. Things to try One interesting aspect of the Llama-3-Soliloquy-8B-v2 model is its support for long-form context (up to 24k tokens). This allows the model to maintain a consistent narrative and character across extended exchanges, enabling more complex and engaging roleplaying scenarios. Developers could experiment with prompts that challenge the model to sustain a coherent persona and plotline over multiple turns of interaction. Another area to explore is the model's ability to generate literary-style language. Prompt the model with requests for poetic, philosophical, or descriptive responses, and see how it crafts nuanced and evocative outputs tailored to the roleplaying context.
Updated 6/27/2024
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Llama-3-Soliloquy-8B-v1
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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.
Updated 9/3/2024