Uncensored Llama 3.2 1B & 3B AI models now run locally on iOS and macOS with Private LLM. These are Meta's own Llama 3.2 models with the built-in content filters stripped out, so responses stay unrestricted while everything still runs on your device, private and offline.

What Makes Llama 3.2 Uncensored Models Special?

Meta built Llama 3.2 as a capable, general-purpose model, then wrapped it in content filters that block sensitive or NSFW queries by default. These restrictions can limit users who need unfiltered results for tasks like research or creative writing.

Uncensored models remove these restrictions, enabling broader applications. With Private LLM, you can now run uncensored Llama 3.2 models directly on your iOS devices (iPhone, iPad) or Macs (Apple Silicon only) for complete control over the AI's output.

Llama 3.2 1B model declining to respond to a user prompt, demonstrating content filtering restrictions.

Uncensored Llama 3.2 1B model answering the same user prompt, showing no content restrictions.

Why Choose Uncensored Llama 3.2 Models?

Uncensored, Llama 3.2 opens up use cases the filtered version won't touch:

1. NSFW Content Generation

Whether for creative writing, content creation, or free speech applications, uncensored AI allows users to explore NSFW topics without restrictions.

2. Research on Sensitive Topics

Researchers studying hate speech, misinformation, or biases can benefit from unfiltered responses to better understand problematic behaviors or language patterns.

3. Unrestricted Creative Applications

Writers and artists can push boundaries with uncensored AI, creating authentic dialogue, experimental fiction, or edgy narratives.

4. Legal and Forensic Use Cases

Legal professionals or investigators may require uncensored AI for analyzing sensitive or explicit conversations, including those related to criminal investigations.

5. Bias Detection and Mitigation

Unfiltered AI responses enable researchers to identify biases or harmful patterns, aiding in the development of fairer, more transparent models.

How Abliteration Enables Uncensored AI

Abliteration is what makes this possible: a technique that finds and removes the refusal mechanism built into the model, without touching anything else it knows how to do.

Llama 3.2 3B Uncensored model providing a full response to a user prompt without any content filtering.

For more technical details, explore this blog post by Maxime Labonne, which dives into abliteration and its implementation.

New Uncensored Llama 3.2 Models

The following uncensored models are now available: Llama 3.2 1B Abliterated, Llama 3.2 3B Abliterated, and Llama 3.2 3B Uncensored.

huihui-ai/Llama-3.2-1B-Instruct-abliterated: A compact, 1-billion parameter model for faster performance and simpler tasks. Compatible with all iOS devices and Macs.
huihui-ai/Llama-3.2-3B-Instruct-abliterated: A 3-billion parameter model offering enhanced capabilities for more complex tasks. Requires devices with at least 6 GB of RAM.
chuanli11/Llama-3.2-3B-Instruct-uncensored: A fully uncensored model designed for maximum flexibility and power.

Every uncensored model Private LLM ships is on the uncensored models page.

Benefits of Running Locally with Private LLM

Run these models with Private LLM and every interaction happens on your device, not someone else's server:

Full Privacy: No data leaves your iPhone, iPad, or Mac.
No Internet Required: Run models offline, ensuring total control and security.
Subscription-Free: A one-time purchase covers all your Apple devices, with Family Sharing for up to six users.

Private LLM also plugs into Siri and Apple Shortcuts, so you can build AI-driven workflows without writing a line of code.

Why Choose Private LLM Over Ollama for Uncensored AI?

Private LLM and Ollama both run models locally, but they're built for different people. Ollama targets developers: a command-line tool for macOS, Windows, and Linux that assumes technical comfort with quantization formats and terminal workflows. Private LLM targets the Apple ecosystem directly, with native support for iOS, iPadOS, and macOS and a one-time purchase instead of recurring fees. The quantization underneath differs too. Ollama relies on traditional RTN quantization, while Private LLM's OmniQuant technology delivers faster performance and higher-quality text generation. If what you want is a private, offline AI that runs as easily on your iPhone or iPad as it does on your Mac, Private LLM is built for that.

Don’t just take our word for it—compare for yourself.

How to Get Started with Uncensored Llama 3.2 Models

Getting started takes a minute:

If you haven't already, download Private LLM from the App Store.

Open the app and choose from the newly added Llama 3.2 models based on your device's RAM capacity.

Once your model finishes downloading, just start talking to it. There's no filter standing between you and the answer anymore.

Uncensored Llama 3.2 on Private LLM means the model finally answers instead of refusing, and your conversation never leaves your device. Developers, researchers, and creative writers get a tool built for exactly the work a censored model won't do.

Run it locally on your iPhone, iPad, or Mac and you keep complete control over your data and your output, without the limitations imposed by censored AI models. So go ahead—explore the uncensored potential of Llama 3.2 with Private LLM!