Best Uncensored AI Models in 2026

Cloud AI services apply content filters that decide what you can and cannot generate. If you run models locally, those restrictions disappear. You control the model, the prompts, and the outputs. This guide covers the best uncensored models available in 2026 for chat, image generation, and video generation -- what they are, how much VRAM they need, and how to run them.

What Does "Uncensored" Actually Mean?

Most AI models go through alignment training that teaches them to refuse certain categories of requests. An uncensored or abliterated model is one where these refusal behaviors have been removed or significantly reduced through additional fine-tuning.

The term abliterated comes from a technique published by researchers in 2024. It works by identifying the specific directions in the model's weight space that correspond to refusal behavior, then surgically removing those components. The result is a model that retains its intelligence and coherence but no longer refuses prompts based on content policies.

This is distinct from models that were simply never alignment-trained in the first place. Abliterated models keep the benefits of instruction tuning (they follow directions well, format responses properly) while removing only the refusal layer.

Best Uncensored Chat Models

Llama 3.1 8B Abliterated

The most popular uncensored model for a reason. Meta's Llama 3.1 base is already one of the strongest 8B models ever released, and the abliterated variant removes refusals without sacrificing quality. It runs comfortably on any GPU with 6 GB or more VRAM. In Ollama, you can pull it directly:

ollama pull mannix/llama3.1-8b-abliterated

Mistral Nemo 12B

Mistral Nemo hits a sweet spot between the 8B and larger models. At 12 billion parameters, it produces noticeably more coherent long-form text than 8B models while still fitting on a 12 GB GPU. It excels at creative writing, conversation, and multilingual tasks. The base model is already quite permissive; uncensored fine-tunes remove the remaining guardrails.

Qwen 3 and DeepSeek R1

Both of these models represent the latest wave of open-weight releases. Qwen 3 from Alibaba is particularly strong at structured tasks, coding, and mathematical reasoning. DeepSeek R1 introduces visible chain-of-thought reasoning, where the model shows its thinking process before answering. Both are available in various quantized sizes through Ollama.

Best Uncensored Image Models

Image generation models do not have the same refusal mechanism as chat models -- there is no alignment layer to abliterate. Instead, content filtering in image generation is typically applied at the application level (the hosting service blocks certain prompts). When you run these models locally, those application-level filters do not exist.

FLUX.1 (dev and schnell)

FLUX is the current state of the art for open-weight image generation. The FP8 quantized versions fit on a 12 GB GPU. FLUX requires four separate model files (UNET, VAE, CLIP_L, T5-XXL), which Locally Uncensored downloads as a complete bundle. For a full setup walkthrough, see our FLUX local setup guide.

Juggernaut XL V9

The best single-file SDXL checkpoint for photorealistic generation. Unlike FLUX, Juggernaut XL packages everything (model weights, VAE, CLIP) into one file. It runs on 6 GB VRAM, making it accessible to a much wider range of GPUs. If your GPU cannot handle FLUX, Juggernaut XL is the next best option and still produces remarkable results.

Best Uncensored Video Models

Wan 2.1

Wan 2.1 is the most accessible local video generation model. The 1.3B variant runs on 8 GB VRAM and generates 480p clips in under a minute. The 14B variant produces significantly more coherent motion and higher resolution but needs 16 GB VRAM. Both require three files: the model weights, a VAE, and the UMT5 text encoder. For a detailed comparison and setup guide, see our local video generation guide.

HunyuanVideo 1.5

Tencent's HunyuanVideo produces the most cinematic results of any open-weight video model. It handles complex camera motion and scene composition better than Wan. The trade-off is speed -- generation takes longer -- and it requires four model files (weights, VAE, Qwen2.5 text encoder, CLIP_L). The FP8 quantized version fits on 16 GB VRAM.

How to Download and Run These Models

Chat Models via Ollama

All chat models listed above are available through Ollama. Install Ollama, then pull any model:

ollama pull llama3.1:8b
ollama pull mistral-nemo
ollama pull qwen3:8b
ollama pull deepseek-r1:8b

Locally Uncensored connects to Ollama automatically and shows all installed models in the Chat tab.

Image and Video Models via Locally Uncensored

Open the Model Manager tab. Pre-configured bundles for all image and video models listed above are available with one-click install. The app downloads files to the correct ComfyUI directories and handles VAE/CLIP matching automatically during generation.

VRAM Planning Guide

A Note on Responsible Use

Running uncensored models means the responsibility shifts to you. These models will comply with prompts that cloud services would refuse. That freedom is powerful and comes with the expectation that you will use it thoughtfully. The goal of local AI is autonomy over your own tools, not harm.