Gryphe/Pantheon-Reasoning-27B
Gryphe/Pantheon-Reasoning-27B is a 27 billion parameter Qwen 3.6-based language model developed by Gryphe, featuring a 32768 token context length. This model is an experimental fine-tune focused on enhancing roleplay capabilities through integrated reasoning traces. It is specifically designed to improve character work, narrative planning, and nuanced responses by simulating a writer's thought process before generating text. Pantheon-Reasoning-27B aims to provide a more grounded and prose-forward writing style for interactive fiction and general roleplay scenarios.
Loading preview...
Pantheon-Reasoning-27B: Enhanced Roleplay with Integrated Reasoning
Gryphe/Pantheon-Reasoning-27B is a 27 billion parameter model built on the Qwen 3.6 architecture, specifically fine-tuned to bring advanced reasoning capabilities to roleplay and interactive fiction. This model integrates "thinking traces" into its generation process, simulating a writer's planning phase to improve character consistency, narrative flow, and response quality.
Key Capabilities & Features
- Reasoning-Enhanced Roleplay: Incorporates explicit reasoning steps for character work, narrative planning, and tone consideration, aiming for more coherent and immersive roleplay experiences.
- Diverse Training Data: Trained on a wide array of datasets including core Pantheon roleplay data, Opus-4.6-Reasoning-24k (general instruction-following, STEM, coding), WorldSim (long-form narrative roleplay), text adventure content, and general roleplay transcripts.
- Back-Generated Reasoning: For several datasets, reasoning traces were generated using DeepSeek 3.2, prompting the model to plan its response as a writer would, rather than merely annotating existing text. These traces were validated to ensure genuine forward planning.
- Uncensored Base Model: Utilizes
llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preservedas its base, contributing to reduced refusal rates and strong writing capabilities. - Preserved Thinking: Trained with
preserve_thinking: true, ensuring thinking tags remain active across all assistant turns in multi-turn conversations.
Ideal Use Cases
- Advanced Roleplay Scenarios: Particularly suited for complex character interactions and narrative-driven roleplay where nuanced responses and consistent character portrayal are crucial.
- Interactive Fiction & Text Adventures: Excels in generating grounded, prose-forward content for high-stakes interactive storytelling.
- Experimental AI Research: Serves as a research release to explore the impact of explicit reasoning on roleplay quality and latency, inviting user feedback on its performance.