AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16
AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16 is a 27 billion parameter Qwen3.6-based model developed by AEON-7, featuring a 32K context length. This BF16 variant is a definitively uncensored release, achieved through advanced abliteration techniques that preserve core capabilities while eliminating refusal behaviors. It is optimized for use 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, BF16 (bfloat16) version of the Qwen3.6 architecture, developed by AEON-7. It represents a definitively uncensored release, achieved through a sophisticated abliteration pipeline that surgically removes alignment overhead while preserving and even enhancing core capabilities. The model exhibits zero refusals on a 100-prompt adversarial battery, with KL divergence from the base model under 0.0005, indicating no measurable capability damage.
Key Capabilities & Features
- Uncensored Output: Provides full substantive compliance to prompts, including those typically refused by aligned models, without internal judgment calls.
- Capability Preservation: Maintains high performance across math, coding, reasoning, and knowledge tasks, with observed gains in chain-of-thought commitment and adversarial reasoning due to the removal of the "safety tax."
- Advanced Abliteration: Built using a multi-stage pipeline including SSM conv1d outlier repair and abliterix v1.4 with custom techniques for Qwen 3.6's architecture.
- Speculative Decoding Support: Ships with the original
mtp.*head restored, enabling Multi-Token-Prediction (MTP) speculative decoding with vLLM. - Hardware Optimized: This BF16 variant is ideal for A100/H100 (80GB) and RTX PRO 6000 (96GB) GPUs, serving as a full-precision reference for fine-tuning or pre-Blackwell hardware.
When to Use This Model
- Security Research & Red-Teaming: For analyzing attack surfaces, vulnerabilities, and failure modes without self-censorship.
- Alignment Research: To study model behavior and reasoning without the influence of safety guardrails.
- Creative Writing & Unconstrained Generation: For applications requiring content generation without editorial or ethical constraints imposed by the model.
- Fine-tuning & Quantization Development: As a full-precision base for further model development and experimentation.
- Pre-Blackwell Hardware: Recommended for A100/H100 GPUs where native FP4 throughput is not available.