Lachesis-AI/IronLoom-32B-v1 is a 32 billion parameter model with a 32768 token context length, specifically designed for generating roleplaying cards. It employs a creative reasoning process to identify key elements and draft card structures before outputting finished cards in YAML format. This model excels at creating detailed character and scenario cards for roleplaying games, including dynamic decisions and events.
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IronLoom-32B-v1: Roleplaying Card Creator
IronLoom-32B-v1 is a 32 billion parameter model developed by Lachesis-AI, specialized in generating detailed roleplaying cards. Unlike general-purpose LLMs, this model incorporates a unique creative reasoning process to first analyze user requests, identify key elements, and then draft an initial card structure. The final output is presented in a structured YAML format, making it directly usable for roleplaying applications.
Key Capabilities:
- Roleplaying Card Generation: Creates comprehensive character and scenario cards.
- Reasoning-driven Output: Employs an internal 'think' process to structure card content logically.
- YAML Format Output: Delivers cards in a machine-readable YAML format, including fields for name, description, example messages, and tags.
- Dynamic Content Creation: Capable of generating random decisions and events for scenario cards, enhancing roleplay interactivity.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for complex and detailed card descriptions.
Usage Recommendations:
- Specify Card Type: Users should clearly indicate whether they need a 'character' or 'scenario' card at the start of the prompt.
- Utilize Tags: Highly recommends including tags (e.g.,
Fantasy,RPG,SFW) to guide the model towards desired themes and improve output quality. - Silly Tavern Integration: Provides guidance for converting generated YAML cards into a Silly Tavern-compatible JSON format, including recommended sampler parameters like
Temperature: 1andMin P: 0.02.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.