How to Run an Uncensored LLM Locally in 2026 (Ollama, KoboldCpp & the Right Models)

Run an uncensored LLM locally and it answers explicit prompts with zero refusals, costs nothing per message, and never sends a word of your chat to anyone’s server. That’s the pitch, and in 2026 it’s genuinely achievable on a mid-range gaming PC. The catch is that the setup guides floating around either assume you’re a developer or skip the one question that actually matters: which model won’t lecture you.

This guide covers the whole path: the hardware you need, the three runners worth using (Ollama, LM Studio, KoboldCpp), the uncensored models that work for NSFW chat, and how to plug the result into a proper roleplay front-end. If you already know the model names and just want them ranked, our uncensored AI models roundup does that.

Why Running Locally Beats Hosted for Uncensored Chat

Three reasons people go through this trouble:

• No filter, ever. A hosted app can tighten its moderation overnight (plenty have). A model running on your GPU answers the same way next year as it does today.
• Actual privacy. Your chats never leave your machine. No logs, no account, no payment trail tied to your kinks.
• Free after setup. No subscription, no message caps, no token meters.

The trade is effort and hardware. A local 8B model also writes simpler prose than the big hosted stacks, which is worth knowing before you spend an evening on this.

Hardware: What You Actually Need

VRAM is the whole game. The model has to fit in your GPU’s memory (or your Mac’s unified memory), and quantized versions shrink models enough that consumer cards handle them.

VRAM	What you can run	Experience
6–8GB	7B–8B models (Q4)	Solid chat, the realistic entry point
12GB	12B models (Q4–Q5)	Noticeably better roleplay, current sweet spot
16–24GB	22B–32B models	Strong prose, holds long scenes together
24GB+ / dual GPU	70B (heavily quantized)	Closest to hosted quality, niche territory

No dedicated GPU? Two options still work. Apple Silicon Macs run these models well because unified memory acts like VRAM; a 16GB M-series Mac handles 8B–12B models comfortably. And CPU-only inference runs on almost anything, just slowly. Expect a few words per second instead of a flowing stream. Fine for testing, painful for long roleplay.

Step 1: Pick Your Runner

Three programs do the actual work of loading a model and generating text. All are free.

Ollama is the fastest route from zero to chatting. Install it, open a terminal, type ollama run dolphin-mistral, and it downloads the model and drops you into a chat. It has a built-in library of uncensored fine-tunes, so you never touch Hugging Face if you don’t want to. The terminal interface is bare, but Ollama also runs as a local API, so front-ends can sit on top of it.

LM Studio is the pick if terminals put you off. It’s a desktop app with a model browser, a chat window, and download buttons. Search for any GGUF model on Hugging Face from inside the app, click download, start chatting. It also shows you whether a model will fit in your VRAM before you download, which saves a lot of trial and error.

KoboldCpp is the roleplay crowd’s choice. It’s a single executable, no install, and it’s built to serve as a backend for SillyTavern, the front-end serious roleplayers use for character cards and long-term memory. Slightly more knobs to turn than the other two, but if roleplay is the goal, this is where you’ll end up anyway.

Honestly: start with Ollama or LM Studio to confirm your hardware copes, then move to KoboldCpp when you want the full character-card setup.

Step 2: Pick an Uncensored LLM

This is where most people go wrong. Stock open-weight models (plain Llama, plain Mistral) ship with refusal training and will decline explicit prompts just like ChatGPT does (and ChatGPT’s adult mode is still on hold, so that’s not changing soon). Running locally doesn’t remove the filter; the filter is baked into the weights. You need a fine-tune that had it trained out.

The names that matter in 2026:

• Dolphin (8B and up). The best-known uncensored line. Alignment stripped, retrained without refusals, answers everything flat. Available straight from Ollama’s library (dolphin-llama3, dolphin-mistral). Great first model.
• Stheno (Llama 3 8B tune). Community favorite for NSFW roleplay at the 8GB-VRAM tier. Better character voice and pacing than Dolphin, which is tuned for general uncensored use rather than fiction.
• Mistral Nemo 12B tunes (Rocinante and friends). The 12GB-VRAM sweet spot. Users say the jump from 8B to a good 12B roleplay tune is the most noticeable quality upgrade per gigabyte anywhere on this list.
• MythoMax 13B. The old classic. Still fine, but the newer Nemo-based tunes have largely passed it. Worth knowing the name because half the guides online still recommend it.
• Cydonia and other 22B+ tunes. For 16–24GB cards. Meaningfully smarter prose, fewer contradictions in long scenes.

One format note: you’ll see “GGUF” and quant labels like Q4_K_M everywhere. GGUF is just the file format these runners load, and Q4_K_M is the compression level that’s become the default recommendation, small enough to fit, close enough to full quality. When in doubt, grab the Q4_K_M file.

Step 3: Run It

The Ollama version, since it’s the shortest:

1. Install Ollama from ollama.com (Windows, Mac, Linux).
2. Open a terminal and run ollama run dolphin-mistral.
3. Wait for the download (about 4GB), then type.

That’s the whole setup. In LM Studio it’s the same idea with buttons: search a model name, download, open the chat tab. In KoboldCpp you download a GGUF file from Hugging Face yourself, launch the exe, and point it at the file.

Two tips that fix most “it’s still refusing” complaints. First, check you actually loaded an uncensored tune and not the base model; llama3 refuses, dolphin-llama3 doesn’t. Second, set a system prompt. Uncensored models follow instructions without arguing, so a couple of sentences describing the persona and telling it the content is unrestricted shapes everything that follows.

If reading “open a terminal” made your eyes glaze over, SpicyChat is the closest hosted equivalent to this setup: same character-card style of roleplay, nothing to install, generous free tier. You give up the total control and privacy of local, but you’re chatting in two minutes instead of an evening.

Level Up: Add a Real Front-End

A terminal chat gets old fast. The standard move is running KoboldCpp (or Ollama) as a backend and putting SillyTavern on top for character cards, persistent memory, group chats, and prompt control. Our SillyTavern guide covers that whole setup; this post is the “bring your own backend” half it assumes you’ve done.

And text is only one piece of the local stack. The same machine that runs a 12B model will run Stable Diffusion or Flux for uncensored images, and ComfyUI ties it together if you want image generation wired into the same workflow.

The Honest Downsides

• Quality ceiling. An 8B model is not GPT-class. It loses plot threads, repeats itself, and writes plainer prose. Good 12B+ tunes narrow the gap; nothing local at consumer scale closes it.
• Your GPU is busy. Generating text while gaming on the same card doesn’t go well.
• Model hunting is a rabbit hole. New tunes drop weekly and the community churns through favorites. Fun if you like tinkering, exhausting if you just want to chat.
• No images or voice out of the box. Hosted companion apps bundle selfies and voice notes. Locally, each of those is its own separate setup, though voice is the easy add: our local NSFW voice guide shows how XTTS-v2 wires into the same stack.

When Hosted Is the Better Call

If you want a complete package (chat plus images plus voice, with a persona that remembers you) and you don’t care about the subscription, a hosted uncensored app skips everything above. For a breakdown of which hosted platforms actually allow explicit content versus which just claim to, our uncensored AI chat guide maps the field.

GirlfriendGPT is the strongest all-in-one of those: uncensored chat, in-chat image generation, and deep persona control with zero setup. It’s what I’d point most people at if the local route sounds like a weekend project they’ll abandon halfway.

FAQ

Is running an uncensored LLM locally legal? Downloading and running open-weight models is legal in most places. What you generate is on you; the same content laws apply as anywhere else, so nothing involving minors or real people without consent, ever.

Can I do this without a GPU? Yes, via CPU inference in any of the three runners, but it’s slow (a few words per second on a typical CPU). An Apple Silicon Mac with 16GB+ memory is the better no-GPU path.

Why does my “uncensored” model still refuse sometimes? Either it’s actually a base model with refusal training intact, or the system prompt is fighting you. Load a known tune like Dolphin or Stheno and set a clear system prompt; that resolves it in nearly every case.

Is local really private? The generation itself, yes: nothing leaves your machine and it works fully offline. The model download is the only network step, and after that you can pull the plug.

Bottom line: if you have 8GB of VRAM and one free evening, install Ollama, run ollama run dolphin-mistral, and you’ll have genuinely unfiltered private chat tonight. Upgrade to a 12B roleplay tune and SillyTavern once you know you’ll use it.