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Run Phi 2 Orange on iPhone, iPad & Mac

General reasoning specialist finetune of Phi 2 3B

Phi 2 Orange runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.

2.8BiPhoneiPadMacgeneral

Specifications

Parameters
2.8B
License
MIT
Quantization
OmniQuant 4-bit
Family
Phi 2 3B

What Phi 2 Orange is good at

Phi 2 Orange is a 2.8 billion parameter model from the Phi 2 3B family, fine-tuned in two stages to strengthen instruction following and general knowledge. It is notably good at reasoning tasks, achieving the highest average score across evaluation benchmarks like AGIEval and Bigbench compared to similar models.

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 13 / 13 miniiPhone SE (3rd gen)iPhone 12 Pro / 12 Pro MaxiPhone 12 / 12 miniiPhone 11 / 11 Pro / 11 Pro MaxiPhone XS / XS 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 Air (4th gen)iPad mini (A17 Pro)iPad mini (6th gen)iPad (A16)iPad (10th gen)

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 Phi 2 Orange in Private LLM

  1. Download Private LLM from the App Store.
  2. Open the in-app model library and choose Phi 2 Orange.
  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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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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Phi 2 Orange v2

2.8B

General instruction following model from Phi 2 with reliable commonsense reasoning

2K contextiPhone & iPad · Mac
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Phi 2 Super

2.8B

Instruction-following conversational finetune of Phi 2 3B with simple chat template

2K contextiPhone & iPad
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Airoboros l2 7b 3.0

6.7B

Instruction following specialist built on Llama 2 7B

4K contextiPhone & iPad · Mac
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Airoboros M 7B

7.2B

General instruction-following model built on Mistral with structured math output

33K contextMac
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Cat Llama 3 70B Instruct

70.6B

Immersive roleplay via strict prompt adherence, Llama 3 70B finetune

8K contextMac

Frequently asked questions

  • Yes. Phi 2 Orange 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. Phi 2 Orange 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, Phi 2 Orange 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 Phi 2 Orange 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 Phi 2 Orange 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 Phi 2 Orange'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.