aifeifei798/Qwen3.8-Queen-27B

Hugging Face
VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 14, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Warm

Qwen3.8-Queen-27B is a 27 billion parameter language model developed by aifeifei798, built upon the Qwen3.8 architecture. This model is specifically fine-tuned for creative writing, deep narrative immersion, and complex roleplay, excelling in maintaining persona fidelity and generating nuanced, literary prose. It features a 32768 token context length and demonstrates strong performance in creative writing benchmarks, achieving a 78.9 score on Caliper Bench's Creative Writing (CW v3) evaluation, ranking #7 in its parameter tier.

Loading preview...

Overview

aifeifei798/Qwen3.8-Queen-27B is a 27 billion parameter language model based on the Qwen3.8 architecture, specifically designed for creative writing and immersive roleplay. It prioritizes maintaining character fidelity and generating high-quality, nuanced prose, distinguishing itself from models that sacrifice literary craft for raw NSFW scores. The model retains strong reasoning capabilities and supports a native context length of 262,144 tokens, extensible up to 1,000,000 tokens with YaRN scaling.

Key Capabilities

  • Exceptional Creative Writing & Roleplay: Achieved 78.9 on Caliper Bench's Creative Writing (CW v3) and ranked #7 in the 27B-30B parameter tier, demonstrating high literary craft and multi-turn stamina.
  • Zero OOC & Persona Compliance: Engineered to eliminate out-of-character (OOC) disclaimers and unsolicited moralizing, ensuring consistent character embodiment for complex personas.
  • Retained Intelligence: Preserves 27B-class reasoning, architectural depth, and logical deduction, capable of handling complex worldbuilding and structured documentation.
  • Multimodal Understanding: Native support for image and video understanding, including STEM diagrams, documents, and hour-scale videos.
  • Agentic Task Performance: Shows strong performance in agentic coding (SWE-bench Pro: 61.7), long-horizon office work (CoWorkBench: 70.7), and frontier agentic tasks (Agents' Last Exam Pass@1: 20.4).

Good for

  • Creative Writers: Ideal for generating deep fiction, grimdark narratives, psychological tension, and complex villain personas without breaking immersion.
  • Roleplay Enthusiasts: Provides an unbounded narrative generation engine for high-immersion roleplay scenarios.
  • Developers requiring nuanced text generation: Suitable for applications demanding sophisticated prose, contextual subtext, and emotional nuance.
  • Agentic AI Development: Benefits from enhanced autonomous planning and handling of environment feedback for reliable multi-step task completion, especially in coding and office automation.