maldv/dragonwar-7b-alpha
maldv/dragonwar-7b-alpha is a 7 billion parameter language model specifically trained for generating fantasy story content. It utilizes a unique training regimen involving full text windows, ORPO, and rotated epochs to enhance coherence in narrative generation. This model is optimized for creative writing in storymode applications, offering a rich cast of characters from various fantasy universes.
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Dragonwar 7b - α Overview
maldv/dragonwar-7b-alpha is a 7 billion parameter language model designed for generating immersive fantasy narratives. Its training methodology involved full text windows, followed by completion, then ORPO (Odds Ratio Preference Optimization), and a final epoch of full text with a 1/4 window rotation. This unique approach aims to produce highly coherent and engaging story content.
Key Capabilities
- Fantasy Story Generation: Optimized for creating detailed and coherent fantasy narratives.
- Rich Character Integration: Capable of drawing from a wide array of established fantasy characters (e.g., King Robb Stark, Lord Rahl, Perrin, Zeddicus, Gandalf).
- Author's Notes Support: Effectively utilizes author's notes to guide story direction and character interactions.
- No EOS Tokens: A specific hack was implemented to remove End-Of-Sentence (EOS) tokens, ensuring continuous generation without premature stops.
Intended Use Cases
This model is not a chat model but is specifically intended for:
- Storymode Applications: Generating ongoing story segments or entire narratives.
- Creative Writing: Assisting writers in developing fantasy plots and character interactions.
- Interactive Fiction: Powering text-based adventure games or interactive storytelling platforms.
Users are advised to start with a bit of story or a character name rather than a traditional prompt. Recommended generation settings include Min-P of 0.1, dynatemp between 0.5 and 2, and smoothing between 0.05 and 0.2.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.