DavidAU/Qwen3.5-9B-GBO-Fire-HERETIC-UNCENSORED-THINKING-X8

VISIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 7, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

DavidAU/Qwen3.5-9B-GBO-Fire-HERETIC-UNCENSORED-THINKING-X8 is a 9 billion parameter Qwen3.5-based language model, fine-tuned by DavidAU using Unsloth on local hardware with multiple datasets. This model is specifically designed for uncensored, deep analytical reasoning and complex philosophical inquiry, demonstrating enhanced performance over the base Qwen3.5-9B-Instruct model in benchmarks like ARC-C and OBKQA. It excels at generating highly detailed, multi-faceted responses, particularly in areas requiring mathematical analysis, self-reflection, and creative problem-solving.

Loading preview...

Model Overview

DavidAU/Qwen3.5-9B-GBO-Fire-HERETIC-UNCENSORED-THINKING-X8 is a 9 billion parameter model based on the Qwen3.5 architecture, fine-tuned by DavidAU. This model was developed using Unsloth on local hardware with multiple datasets, with a focus on providing uncensored and deeply analytical responses. It features a context length of 32768 tokens, enabling it to process and generate extensive, complex text.

Key Capabilities

  • Uncensored and Analytical Reasoning: Designed to provide unrestricted and profound analysis, particularly in complex, multi-domain prompts.
  • Enhanced Performance: Benchmarks by Nightmedia indicate superior performance compared to the base Qwen3.5-9B-Instruct model across several reasoning tasks, including ARC-C (0.637 vs 0.571) and OBKQA (0.462 vs 0.426).
  • Deep Mathematical and Philosophical Inquiry: Excels at tasks requiring intricate mathematical parallels (e.g., QM/QFT to Transformer inference) and philosophical self-reflection.
  • Complex Example Generation: Demonstrates an ability to follow multi-part, nuanced instructions, integrating diverse topics like quantum physics, AI self-analysis, and Star Trek lore into coherent, detailed responses.

Good For

  • Advanced Research and Development: Ideal for researchers and developers exploring the boundaries of AI reasoning and complex problem-solving.
  • Unrestricted Content Generation: Suitable for applications where uncensored and highly detailed output is critical.
  • Philosophical and Creative Text Generation: Can be leveraged for generating content that requires deep introspection, creative analogies, and nuanced understanding of abstract concepts.