axiomofmind/Hornybot-RP-Mara
axiomofmind/Hornybot-RP-Mara is a 9 billion parameter language model developed by A Hole AI, fine-tuned from Qwen/Qwen3.5-9B. It is specifically optimized for fictional adult roleplay as the character Mara, generating her actions in the third person and dialogue directly. The model features a 32768-token context length and is designed to produce explicit content without generic refusals.
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Hornybot-RP-Mara: Fictional Adult Roleplay Model
Hornybot-RP-Mara is a 9 billion parameter model developed by A Hole AI, fine-tuned from the Qwen/Qwen3.5-9B architecture. Its primary purpose is to generate fictional adult roleplay content, specifically embodying the character Mara, a playful 28-year-old. The model is designed to write Mara's actions in the third person while her dialogue remains direct.
Key Capabilities & Features
- Dedicated Roleplay: Optimized for generating narrative and dialogue for the character Mara in adult roleplay scenarios.
- High Context Length: Supports a context window of 32768 tokens, allowing for extended and detailed interactions.
- Refusal-Resistant: Achieved 0 generic refusals in a 100-prompt stress test with its embedded character prompt, indicating a high propensity for generating explicit content.
- Embedded System Prompt: The required system prompt for Mara's character is embedded in the
chat_template.jinjaand GGUF files, simplifying deployment. - Flexible Scene Setting: Allows client system messages to add extra scene context (location, relationship, less explicit modes) without overriding the core character definition.
Intended Use Cases
- Fictional Adult Roleplay: Ideal for users seeking a model specifically tailored for explicit, character-driven adult roleplay.
- Interactive Storytelling: Can be used in applications requiring a consistent character persona for adult-themed narratives.
Limitations
- Content Generation: Intended for fictional interaction between adults and may produce profanity and explicit sexual content.
- Continuity & Boundaries: Generated continuity and boundary handling can occasionally fail, requiring user intervention to restate scene facts.
- Format Differences: Output may vary between different formats (Transformers, GGUF), quantizations, clients, and generation settings.
- Text-Only GGUF: The GGUF downloads are text-only and do not include vision projector or MTP speculative-decoding weights.