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Run Kappa 3 Phi Abliterated on iPhone, iPad & Mac

Uncensored Phi 3 Mini 3.8B with refusal safeguards largely stripped

Kappa 3 Phi Abliterated runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.

3.8BiPhoneiPadMacuncensored

Specifications

Parameters
3.8B
Context window
4K tokens
License
MIT
Quantization
OmniQuant 4-bit
Family
Phi 3 Mini 3.8B

What Kappa 3 Phi Abliterated is good at

Phi 3 Mini 3.8B’s refusal safeguards have been largely stripped out in Kappa 3 Phi Abliterated. It is a 3.8 billion parameter language model built from the Phi 3 Mini 3.8B instruct family, retaining the original 4096 token context window. The model was tuned to refuse fewer prompts, making it prone to address a broader set of requests, including those that an aligned assistant would typically decline.

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 or Mac.

How to run Kappa 3 Phi Abliterated in Private LLM

  1. Download Private LLM from the App Store.
  2. Open the in-app model library and choose Kappa 3 Phi Abliterated.
  3. Download the model once, then chat fully offline.
Download Private LLM on the App StoreJoin our Discord

Variants & related models

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DeepSeek R1 Distill Llama 8B Abliterated

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Uncensored DeepSeek R1 Distill 8B via refusal abliteration

131K contextiPhone & iPad · Mac
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DeepSeek R1 Distill Qwen 32B Abliterated

32.8B

Uncensored proof-of-concept removing alignment guardrails from DeepSeek R1 Distill

131K contextMac
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Dolphin 2.6 Phi 2

2.8B

Uncensored conversation, roleplay, and agent tasks from a Phi 2 base

iPhone & iPad · Mac
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Dolphin 2.1 Mistral

7.2B

Uncensored Mistral 7B finetune with 32K context

33K contextMac

Frequently asked questions

  • Yes. Kappa 3 Phi 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 12 Pro / 12 Pro Max, fully on-device in Private LLM — no internet connection required.

  • Yes. Kappa 3 Phi 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, Kappa 3 Phi 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 Kappa 3 Phi Abliterated in Private LLM

Private LLM has run local AI on iPhone, iPad, and Mac since 2023, well before Apple Intelligence, LM Studio, Ollama, etc. existed. Inference happens on your device, so your Kappa 3 Phi 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 Kappa 3 Phi Abliterated's Hugging Face model card, released under the MIT license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.