Run Llama 3.2 1B Instruct Abliterated on iPhone, iPad & Mac
Llama 3.2 1B Instruct Abliterated runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.
Download the model weights
These are the exact weights Private LLM runs for Llama 3.2 1B Instruct Abliterated, published on our Hugging Face org. Load them in any app that supports the format, not just Private LLM.
Specifications
- Parameters
- 1.5B
- Context window
- 131K tokens
- License
- Llama 3.2
- Quantization
- OmniQuant 4-bit
- Family
- Llama 3.2 1B
What Llama 3.2 1B Instruct Abliterated is good at
This is an uncensored version of the Llama 3.2 1B Instruct model, modified using a technique called abliteration to remove refusals. It is good for tasks where you want the model to respond without built-in safety restrictions. The model shows slightly lower performance on most benchmarks compared to the original, except for a small improvement on the GPQA test.
Which of your devices can run it
iPhone
iPad
Mac
How to run Llama 3.2 1B Instruct Abliterated in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose Llama 3.2 1B Instruct Abliterated.
- Download the model once, then chat fully offline.
Variants & related models
DeepSeek R1 Distill Llama 8B Abliterated
Frequently asked questions
Yes. Llama 3.2 1B Instruct Abliterated 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 13 / 13 mini, iPhone SE (3rd gen), iPhone 12 Pro / 12 Pro Max, iPhone 12 / 12 mini, iPhone 11 / 11 Pro / 11 Pro Max, iPhone XS / XS Max, fully on-device in Private LLM — no internet connection required.
Yes. Llama 3.2 1B Instruct Abliterated 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.
Yes. Once downloaded in Private LLM, Llama 3.2 1B Instruct Abliterated runs 100% on-device — no internet connection, and nothing is sent to any server.
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 1B Instruct Abliterated 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 1B Instruct Abliterated 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.
Specifications and summary come from Llama 3.2 1B Instruct Abliterated's Hugging Face model card, released under the Llama 3.2 license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.