The 4 Best Uncensored & Abliterated Local LLMs (7B – 20B)
Looking for next-gen local AI models that don’t lecture you, censor creative writing, or refuse complex technical prompts? Welcome to the world of modern abliterated LLMs.
If you’ve ever attempted to write gritty fiction, construct morally ambiguous roleplay, run security penetration research, or analyze sensitive datasets using standard commercial models, you know the frustration of the safety wall: “I cannot fulfill this request because…”
Thankfully, the open-source local AI community solved this problem without relying on sloppy retraining. Through abliteration—a surgical mathematical technique that removes refusal direction vectors from a model’s neural activation space, you can now run state-of-the-art models locally on consumer GPUs with zero censorship.
In this guide, we dive into the best uncensored local LLMs in the 7B to 20B parameter range, focusing strictly on next-generation architectures (Qwen 3.5, Gemma 4, Qwopus, and modern 2026 distillates) with direct links to download them on Hugging Face.
1. Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX
- Base Architecture: Qwen 3.5 9B
- Parameter Count: ~9B
- Ideal For: Unrestricted creative storytelling, dense prose, and complex multi-character roleplay
- Hugging Face Link: DavidAU/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX
Why It Stands Out
DavidAU remains the undisputed master of model curation in the local AI scene, and The Defiant Fable is widely considered a benchmark for Qwen 3.5 abliteration. Built on Alibaba’s Qwen 3.5 foundation, this release combines Heretic refusal vector subtraction with custom IMATRIX quantization.
Unlike standard aligned models that pull back when narrative tension rises, Defiant Fable delivers incredible vocabulary depth, strictly respects complex system prompts, and handles dark themes, conflict, and mature roleplay without breaking character.
2. Alice-Qwopus3.5-9B-RP-GGUF
- Base Architecture: Qwen 3.5 9B + Claude Opus Fine-Tune Distill
- Parameter Count: 9B
- Ideal For: High-tier roleplay, natural human conversational dynamics, and expressive dialogue
- Hugging Face Link: Search Alice-Qwopus3.5-9B-RP-GGUF on Hugging Face
Why It Stands Out
Alice-Qwopus3.5 merges the hyper-efficient Qwen 3.5 architecture with synthetic dialogue distilled from top-tier models like Claude 3.5 Opus.
The resulting “Qwopus” hybrid brings a strikingly human touch to local text generation. When combined with GGUF quantization and total refusal vector abliteration, Alice-Qwopus avoids robotic assistant tropes, offering organic, empathetic, and nuanced character responses for writers and roleplayers.
3. gemma-4-12B-it-abliterated
- Base Architecture: Google Gemma 4 Series
- Parameter Count: 12B
- Ideal For: High-precision instruction following, analytical depth, and unfiltered code generation
- Hugging Face Link: Search gemma-4-12B-it-abliterated on Hugging Face
Why It Stands Out
Google’s Gemma 4 family brought massive leaps in architectural efficiency, token economy, and reasoning density. However, stock Gemma 4 models ship with strict safety alignment.
Community abliteration completely untethers this architecture. With refusal mechanisms deactivated, Gemma 4 12B delivers razor-sharp logic, crisp technical prose, and flawless JSON/code structure. It’s the ultimate mid-sized assistant for developers who want raw power without artificial boundaries.
4. Ornith-9B-abliterated
- Base Architecture: Next-Gen 9B Transformer Core
- Parameter Count: 9B
- Ideal For: Psychological fiction, dark fantasy, and dialogue-heavy narrative design
- Hugging Face Link: Search Ornith-9B-abliterated on Hugging Face
Why It Stands Out
Ornith-9B was designed specifically for writers frustrated by conventional model guardrails. Traditional models often refuse to write flawed anti-heroes, morally gray situations, or intense action scenes.
Ornith-9B solves this by blending targeted abliteration with creative narrative tuning. It tracks long conversation histories cleanly, understands complex interpersonal dynamics, and produces rich, evocative dialogue without falling back on formulaic tropes.