[Models](/models) / [Llama 3.2 3B](/models?family=Llama%203.2%203B#models-gallery) / Llama 3.2 3B Instruct Uncensored ![Meta logo](/model-logos/meta.svg) # Run Llama 3.2 3B Instruct Uncensored on iPhone, iPad & Mac Llama 3.2 3B Instruct Uncensored runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server. 3BiPhoneiPadMac ## Download the quantized weights These are the exact OmniQuant weights Private LLM runs for Llama 3.2 3B Instruct Uncensored, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM. - [iPhone & iPad — 4-bit OmniQuant →](https://huggingface.co/numen-tech/Llama-3.2-3B-Instruct-uncensored-w4a16g128asym) - [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/Llama-3.2-3B-Instruct-uncensored-w4a16g128asym) ## Specifications Parameters 3B Context window 131K tokens Quantization OmniQuant 4-bit Family Llama 3.2 3B ## What Llama 3.2 3B Instruct Uncensored is good at [uncensored](/models/uncensored) This is an uncensored version of the Llama 3.2 3B Instruct model, meaning it has been modified to rarely refuse answering questions. It is good at providing detailed information on sensitive or restricted topics, though it often gives general explanations instead of directly instructing harmful actions. The model is intended for research use only and may produce unreliable outputs. ## Which of your devices can run it ### iPhone iPhone 17 Pro MaxiPhone 17 ProiPhone AiriPhone 17iPhone 16 Pro / 16 Pro MaxiPhone 16 / 16 PlusiPhone 16eiPhone 15 Pro / 15 Pro MaxiPhone 15 / 15 PlusiPhone 14 / 14 Plus / 14 Pro / 14 Pro MaxiPhone 13 Pro / 13 Pro MaxiPhone 12 Pro / 12 Pro Max ### iPad iPad Pro (M5, 16GB)iPad Pro (M5, 12GB)iPad Pro (M4, 16GB)iPad Pro (M4, 8GB)iPad Pro (M2, 16GB)iPad Pro (M2, 8GB)iPad Pro (M1, 16GB)iPad Pro (M1, 8GB)iPad Air (M4)iPad Air (M3)iPad Air (M2)iPad Air (M1)iPad mini (A17 Pro)iPad (A16) ### Mac Mac (Apple Silicon, 192GB)MacBook Pro (M4 Max, 128GB)Mac Studio / Pro (Apple Silicon, 96GB)MacBook Pro (M4 Max, 64GB)MacBook Pro (M4 Max, 48GB)MacBook Pro (M4 Max, 36GB)Mac (Apple Silicon, 32GB)MacBook Air (M4, 24GB)MacBook Air (M-series, 16GB)Mac (Apple Silicon, 8GB) Browse every model that fits [iPhone](/models/best-for-iphone) or [Mac](/models/best-for-mac). ## How to run Llama 3.2 3B Instruct Uncensored in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose Llama 3.2 3B Instruct Uncensored. 3. Download the model once, then chat fully offline. [![Download Private LLM on the App Store](/app-store/download-badge/en/download.svg)![Download Private LLM on the App Store](/app-store/download-badge/en/download-dark.svg)](/download)[Join our Discord](/discord) ## Variants & related models ![Meta logo](/model-logos/meta.svg) ### Dolphin 3.0 Llama 3.2 3B 3B uncensored 131K contextiPhone & iPad · Mac [View details →](/models/dolphin3.0-llama3.2-3b) ![Meta logo](/model-logos/meta.svg) ### FuseChat Llama 3.2 3B Instruct 3.2B general 131K contextiPhone & iPad · Mac [View details →](/models/fusechat-llama-3.2-3b-instruct) ![Meta logo](/model-logos/meta.svg) ### Hermes 3 Llama 3.2 3B 3.2B general 131K contextiPhone & iPad · Mac [View details →](/models/hermes-3-llama-3.2-3b) ![Meta logo](/model-logos/meta.svg) ### Meta Llama 3.2 3B Instruct 3.2B general iPhone & iPad · Mac [View details →](/models/llama-3.2-3b-instruct) ![Meta logo](/model-logos/meta.svg) ### Llama 3.2 3B Instruct Abliterated 3.6B uncensored 131K contextiPhone & iPad · Mac [View details →](/models/llama-3.2-3b-instruct-abliterated) ![Google Gemma logo](/model-logos/gemma.svg) ### Amoral Gemma 3 1B v2 1B uncensored 33K contextiPhone & iPad · Mac [View details →](/models/amoral-gemma3-1b-v2) ## Frequently asked questions - Can I run Llama 3.2 3B Instruct Uncensored on iPhone? Yes. Llama 3.2 3B Instruct Uncensored runs on iPhone models with enough memory, such as iPhone 17 Pro Max, iPhone 17 Pro, iPhone Air, iPhone 17, iPhone 16 Pro / 16 Pro Max, iPhone 16 / 16 Plus, iPhone 16e, iPhone 15 Pro / 15 Pro Max, iPhone 15 / 15 Plus, iPhone 14 / 14 Plus / 14 Pro / 14 Pro Max, iPhone 13 Pro / 13 Pro Max, iPhone 12 Pro / 12 Pro Max, fully on-device in Private LLM — no internet connection required. - Can I run Llama 3.2 3B Instruct Uncensored on Mac? Yes. Llama 3.2 3B Instruct Uncensored runs on Macs with enough unified memory, such as Mac (Apple Silicon, 192GB), MacBook Pro (M4 Max, 128GB), Mac Studio / Pro (Apple Silicon, 96GB), MacBook Pro (M4 Max, 64GB), MacBook Pro (M4 Max, 48GB), MacBook Pro (M4 Max, 36GB), Mac (Apple Silicon, 32GB), MacBook Air (M4, 24GB), MacBook Air (M-series, 16GB), Mac (Apple Silicon, 8GB), fully on-device in Private LLM. - Does Llama 3.2 3B Instruct Uncensored work offline? Yes. Once downloaded in Private LLM, Llama 3.2 3B Instruct Uncensored runs 100% on-device — no internet connection, and nothing is sent to any server. - Is Llama 3.2 3B Instruct Uncensored free to use? Private LLM is a one-time purchase with no subscription and no per-message cost. The models themselves are open source — once downloaded, they run offline with nothing to pay per use. ## Why run Llama 3.2 3B Instruct Uncensored in Private LLM Private LLM has run local AI on iPhone, iPad, and Mac since 2023, before Apple Intelligence existed. Inference happens on your device, so your Llama 3.2 3B Instruct Uncensored conversations never reach a server. The part most apps gloss over is quantization, and that is exactly where on-device quality is won or lost. Most llama.cpp and MLX wrappers ship the same off-the-shelf 4-bit RTN weights. Private LLM ships GPTQ and OmniQuant quantization, tuned per model, and our 3-bit OmniQuant models match or beat those 4-bit RTN builds on the same Apple Silicon. Run the same model both ways and you feel it in the first reply. [See how our quantization works](/en/faq#Why-can-t-Private-LLM-load-models-directly-from-Hugging-Face). ### More from Numen [![Slop or Not app icon](/app-icons/slop-or-not.png) #### Slop or Not Catch AI-written text on iPhone and Mac. The check runs on-device, so nothing you paste gets uploaded. ](https://slopornot.ai)[![Clean Links app icon](/app-icons/clean-links.png) #### Clean Links Strip trackers and clutter from any link before you share it. The cleanup happens on your device. ](https://cleanlinks.app) Specifications and summary come from Llama 3.2 3B Instruct Uncensored's [Hugging Face model card](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored). Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.