How to Run Your Own Uncensored LLM: Local, Cloud GPU or API

An uncensored LLM is an AI language model that follows your instructions for fictional adult roleplay without the refusals built into mainstream chatbots. For the most privacy, we recommend running an open-weight model on your own PC with a front end like SillyTavern or Backyard AI, because your chats never leave your machine. If your hardware can’t handle that, renting a cloud GPU or paying per message through a model API gets you similar freedom with less privacy.

Every step toward convenience hands a little more of your data to someone else. Knowing where each option draws that line lets you pick a private AI chat setup that fits your hardware, your budget, and how much you want anyone else seeing your stories.

This guide covers text roleplay with fictional adult characters only. It does not involve jailbreaking commercial models or generating anything illegal.

Three Ways to Run an Uncensored Model

You can run uncensored large language models in three ways: on your own computer, on a rented cloud GPU, or through a pay-per-use API. All three use the same two-part structure. A backend loads the model and generates text, and a front end (the UI) is where you chat, build characters, and manage stories.

Local AI gives you full control but depends on what your computer can run. Cloud GPUs remove the hardware limit and add hourly billing plus setup work. APIs are the fastest route, but a company processes every prompt you send.

Many front ends connect to all three, so you can start with one option and switch later without rebuilding your characters.

Option 1: On Your Own PC

Running the model yourself is the most private setup because generation happens entirely on your hardware. You install a backend, download a model file, and point a front end at it.

Backends that load the model

• Ollama is the easiest llama.cpp-based backend to set up. It runs as a native Windows app with NVIDIA and AMD GPU support, and it also runs on macOS and Linux. Ollama states it does not see your prompts when you run models locally, and you can switch off its cloud features for local-only use.
• LM Studio combines a backend and chat window in one app for Windows, macOS, and Linux. It searches and downloads models from Hugging Face, runs fully offline once models are downloaded, and can serve them on an OpenAI-compatible endpoint for other apps.
• KoboldCpp runs from a single file on Windows, Mac, and Linux and supports CPU offloading, which helps if your graphics card is short on memory.
• llama.cpp is the original engine that Ollama and KoboldCpp build on. It suits people comfortable with more technical setup.

Front ends for roleplay

SillyTavern is a roleplay-focused interface with character cards, lorebooks, and detailed prompt controls. It connects to local backends and cloud APIs alike. Backyard AI is a desktop app built for character chat with minimal configuration, and its optional Tethering feature lets you reach your home setup from a phone browser while everything still runs on your computer.

Hardware reality

A modern GPU with enough video memory makes the biggest difference in speed and in which models you can load. Smaller models run on modest machines, even on CPU alone, while larger ones need far more memory. Requirements vary by model size and by quantization (the compression level of the model file), and models can take tens of gigabytes of disk space each.

Option 2: Rent a Cloud GPU

Renting a GPU by the hour gives you powerful hardware without buying it. Cloud GPU marketplaces such as Vast.ai let you launch a machine, install a backend like KoboldCpp or Ollama on it, and connect your front end over the internet. Most backends expose an OpenAI-compatible API, so SillyTavern and similar apps treat the remote machine like any other connection.

Pros:

• No hardware purchase, and you can pick a GPU sized for larger models.
• You pay only while the machine is running.
• You control the software and the model loaded on the machine.

Cons:

• Setup takes more work than local apps or APIs, including choosing a template and securing your connection.
• Costs add up quickly if you forget to shut the machine down.
• Storage can keep billing after you stop a machine, so check how your host charges for disks on stopped instances.
• Read the host’s terms first. Some popular GPU hosts, including RunPod, Comfy.ICU and Novita, ban sexually explicit content, so don’t use them for adult roleplay.

Read each provider’s acceptable-use terms before you start. Every marketplace sets its own rules for what you may run on its hardware, and those rules apply even though the model itself is uncensored.

Option 3: Pay-Per-Use Model APIs

Model APIs are the quickest way to reach uncensored LLMs without managing any hardware. Services such as OpenRouter and NanoGPT offer one account that connects to many models, including less-filtered open models, and you pay for what you use.

• OpenRouter provides an OpenAI-compatible API to hundreds of models and providers. It does not enforce its own moderation layer, but individual model vendors can apply theirs.
• NanoGPT also uses an OpenAI-compatible API, charges no minimum fee per query or fee on deposits, and offers extras like a Tor onion endpoint and a pay-per-request option that works without an account.

You paste the API key into a front end like SillyTavern and pick a model from a list. Developers who want to inspect requests before wiring up a front end can test OpenAI-compatible endpoints with a tool like Apidog.

Each provider and each model carries its own content rules. A model marked uncensored can still be routed through a vendor that filters requests, so check the terms on both the platform and the specific model you choose. Pricing is set per model and changes often; check current rates before a long session.

Choosing an Uncensored Model

The best uncensored LLM for roleplay is usually an open-weight model or a community fine-tune downloaded from Hugging Face. Mainstream chat models learn to refuse requests through alignment training such as reinforcement learning from human feedback (RLHF). Uncensored versions remove or retrain that behavior in a few ways:

• Fine-tunes retrain a model on datasets without refusal patterns. The Dolphin series is a well-known example; Dolphin 3.0 Mistral 24B is built to follow whatever tone and rules you set in the system prompt. Nous Hermes 3 and its successor Hermes 4 are described by their creators as neutrally aligned, with weights published openly.
• Abliterated models have the internal “refusal direction” removed from their weights. Research found refusal in many chat models runs through a single direction that can be cut out while leaving normal behavior largely intact.
• Base models skip chat alignment entirely. They continue text well but need an instruct template to hold a conversation.

Earlier generations built on Llama 2, such as uncensored Vicuna and WizardLM variants, started this trend. Newer fine-tunes on Llama 3, Mistral, and similar bases follow instructions and hold character far better.

Two rules apply to any model. Check its license, since some restrict certain uses. And never use any model or prompt to create illegal content; removing refusals does not remove your legal responsibility.

Privacy Compared

Local AI is the most private option by a wide margin, because nothing leaves your computer. The other two shift trust to a company in different ways.

• Your own PC: Prompts, replies, and chat logs stay on your drive. Tools like LM Studio run fully offline once models are downloaded.
• Cloud GPU: You control the software and can delete everything when you’re done, but the machine is someone else’s hardware. The provider holds your billing details and technically operates the server.
• API: The provider sees your prompts in order to generate replies. Some route requests through third-party model hosts, which adds another party. Read each service’s retention policy, since practices vary widely between providers.

A privacy-conscious API can narrow the gap. Venice AI, for instance, states it does not store or log prompt and response content for normal inference, and some of its models support hardware-isolated or end-to-end encrypted modes. Account metadata such as timestamps and token counts is still processed.

Easier Hosted Options

Hosted chat platforms suit you if you want roleplay without installing anything or managing API keys. You trade control and privacy for a ready-made interface, character libraries, and mobile apps.

• Venice AI focuses on privacy, with a no-content-retention approach and several privacy modes depending on the model.
• Janitor AI is a character chat site with a large community library. Its janitor+ Router lets subscribers use third-party models inside the site with per-token billing and no external API key.
• CrushOn AI offers thousands of roleplay characters and a free tier. Its privacy policy says chat content may be used in a general way to train its models without being linked to specific users, which matters if you care about where your stories end up.

Hosted services set their own content rules, and those can change. Check each platform’s current terms, and browse our best of roundups for wider comparisons.

Choosing the Right Balance of Privacy and Convenience

Pick the option that matches your hardware and your privacy line. If you have a capable GPU, a local backend like Ollama, KoboldCpp, or LM Studio paired with SillyTavern or Backyard AI keeps every chat on your machine. If you lack the hardware, a rented cloud GPU keeps you in control of the software, as long as you shut it down after each session.

APIs like OpenRouter and NanoGPT are the fastest way to try many models, with the provider seeing your prompts. Hosted platforms like Venice AI, Janitor AI, and CrushOn AI need the least effort and ask the most trust, so read their privacy policies before you share long, personal stories.

Frequently Asked Questions