Pantheon-Reasoning-27B: A Dense Reasoning RP Model from Gryphe

Gryphe has released Pantheon-Reasoning-27B, a fine-tuned reasoning model for roleplay built on llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved. The model aims to bring structured reasoning to character work — weighing tone, planning narrative beats, and considering how a character would actually respond before generating a line.

The training data composition (all with full reasoning traces):

• Pantheon data (~28%) — core roleplay corpus with back-generated reasoning traces
• Opus-4.6-Reasoning-24k (~21%) — cleaned Claude Opus 4.6 reasoning traces for STEM, coding, and instruction-following
• WorldSim data (~16%) — long-form Opus 4.6 narrative roleplay with native reasoning, mainly third-person present tense
• Text adventure data (~16%) — interactive fiction and text adventure content with back-generated reasoning
• General roleplay data (~16%) — varied roleplay transcripts with back-generated reasoning
• Tiamat data (~3%) — character/RP dataset from Tiamat-24B-Magistral with multi-step improvement pipeline, reasoning back-generated per exchange

The model was trained with preserve_thinking: true, so thinking tags remain active across all assistant turns in multi-turn conversations — not just the first.

GGUF quants are available for local inference. The base model choice (Qwen 3.6 27B) was intentional for refusal reduction and writing capability. Gryphe notes they considered Gemma 4 31B but found it “an absolute pain to train” due to architectural quirks.