The default local models (Llama, Qwen, Gemma) are capable but still carry the same refusal training as their cloud versions. If you’re running AI locally precisely to escape that, you want an uncensored model. Here are the ones worth your disk space in 2026, organized by the hardware you have.

First, what “uncensored” actually means

There are two flavors:

  • Fine-tuned uncensored, the base model retrained on data that removes the reflexive refusals. (The classic Dolphin series popularized this.)
  • Abliterated, a newer, surgical technique that identifies the model’s internal “refusal direction” and zeroes it out, without a full retrain. The model keeps almost all of its original competence but stops saying no. You’ll see models tagged abliterated or -abliterated.

Both run identically to any other local model. None of this requires the cloud, an account, or anyone’s approval, that’s the whole point.

Picks by hardware

Light (8-16 GB RAM / small GPU)

  • Llama 3.1 8B Abliterated, the best all-rounder for modest machines. Fast, coherent, compliant.
  • Qwen2.5 7B (uncensored fine-tune), strong reasoning, great multilingual.

Sweet spot (12-24 GB VRAM)

  • Qwen2.5 14B Abliterated, noticeably sharper; the value pick if you have a 12 GB+ card.
  • Mistral Small (22-24B) uncensored, excellent prose, good for long-form and roleplay.
  • Qwen3.6 27B (abliterated), a newer, multimodal Apache-2.0 base; community de-aligned builds keep its strong reasoning and 256K context. Fits a 16-24 GB card at 4-bit.
  • Gemma 4 12B (abliterated), a newer multimodal base with a 256K context; abliterated builds keep the vision and long context while dropping refusals (expect a small quality tax, as with any heavily safety-tuned Gemma).

Enthusiast (24 GB+ VRAM, e.g. RTX 3090/4090)

  • Qwen2.5 32B Abliterated, near-cloud quality with zero filters. A proven high-water mark for a single big GPU.
  • Qwen3.6 35B-A3B (abliterated MoE), the newer sharp pick: a sparse mixture-of-experts (~3B active) that runs fast while fitting 24 GB at 4-bit. Qwen3.6 has become one of the most-used bases for uncensored builds in 2026.
  • Specialized companion/roleplay fine-tunes (the Cydonia family and similar) shine here for character work.

A note on bases: the older Qwen2.5-based picks above still work well and remain safe defaults, the Qwen3.6 and Gemma 4 entries are simply the newer, sharper starting points if you want the latest. Always pull GGUFs from reputable uploaders.

How to run one tonight

If you followed our run-AI-locally guide, you already have Ollama. Most uncensored models are one command away, browse the Ollama library or import a GGUF from Hugging Face, then:

# example shape, swap in the exact tag from the model's page
ollama run llama3.1:8b-abliterated

Prefer a GUI? LM Studio lets you search, download, and chat with these in a few clicks.

The honest limitation

Raw models are powerful but bare. They don’t remember you between sessions, they don’t speak, and they have no sense of being a consistent “someone.” For a quick Q&A that’s fine. For an actual companion, one that recalls your last conversation, talks out loud, and stays in character, you need an app built around the model, not just the model.

That’s a real engineering layer: voice, persistent memory, personality. A handful of local-first apps now ship it, so you get the uncensored, private, on-your-hardware foundation plus the experience, without ever sending a word to the cloud.