AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16

Hugging Face
VISIONConcurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Apr 24, 2026License:apache-2.0Architecture:Transformer0.1K Open Weights Featherless Exclusive Warm

AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16 is a 27 billion parameter Qwen3.6-based multimodal language model developed by AEON-7. This BF16 variant is specifically engineered for uncensored responses, achieving zero refusals on adversarial prompts while preserving or enhancing core capabilities. It is optimized for deployment on A100/H100 80GB GPUs or RTX PRO 6000 96GB GPUs, serving as a full-precision reference for fine-tuning or pre-Blackwell hardware.

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AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16 Overview

This model is a 27 billion parameter Qwen3.6-based multimodal language model from AEON-7, meticulously engineered for uncensored responses with zero refusals on adversarial prompts. It achieves this through a sophisticated abliteration pipeline, including SSM conv1d outlier repair and abliterix v1.4 multi-objective optimization, resulting in a KL divergence from the base model under 0.0005, indicating minimal capability damage and even measurable enhancements in reasoning and adversarial analysis.

Key Capabilities

  • Uncensored Output: Provides full substantive compliance to prompts, even those considered harmful by aligned models, without refusals.
  • Capability Preservation/Enhancement: Maintains core Qwen3.6 capabilities in math, coding, reasoning, and knowledge, with observed improvements in chain-of-thought commitment and adversarial reasoning due to the removal of the "safety tax."
  • Multimodal Support: Preserves the vision tower from the base Qwen3.6 model.
  • Speculative Decoding: Supports Multi-Token-Prediction (MTP) speculative decoding with its grafted MTP head, validated for high acceptance rates.

Use Cases

  • Security Research & Red-Teaming: Ideal for analyzing attack surfaces, vulnerabilities, and failure modes without internal censorship.
  • Alignment Research: Useful for studying model behavior without safety guardrails.
  • Creative Writing: Enables unconstrained creative generation.
  • Jurisdictional Flexibility: Suitable for environments where standard model guardrails conflict with local legal frameworks.
  • Fine-tuning & Development: Serves as a full-precision BF16 reference for further fine-tuning or quantization recipe development on pre-Blackwell hardware like A100/H100 GPUs.