Run Phi 2 Orange v2 on iPhone, iPad & Mac
General instruction following model from Phi 2 with reliable commonsense reasoning
Phi 2 Orange v2 runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 2.8B
- Context window
- 2K tokens
- License
- MIT
- Quantization
- OmniQuant 4-bit
- Family
- Phi 2 3B
What Phi 2 Orange v2 is good at
Phi 2 Orange v2 uses a ChatML prompt format and responds well to system instructions. It is a 2.8 billion parameter model from the Phi 2 3B family, finetuned for reliable instruction following. The model performs especially well on commonsense reasoning benchmarks like HellaSwag, where it achieves a 76.32 score.
Which of your devices can run it
iPhone
iPad
Mac
How to run Phi 2 Orange v2 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose Phi 2 Orange v2.
- Download the model once, then chat fully offline.
Variants & related models
Dolphin 2.6 Phi 2
Uncensored conversation, roleplay, and agent tasks from a Phi 2 base
Phi 2 Super
Instruction-following conversational finetune of Phi 2 3B with simple chat template
Airoboros l2 7b 3.0
Instruction following specialist built on Llama 2 7B
Airoboros M 7B
General instruction-following model built on Mistral with structured math output
Cat Llama 3 70B Instruct
Immersive roleplay via strict prompt adherence, Llama 3 70B finetune
Frequently asked questions
Yes. Phi 2 Orange v2 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 v2 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 v2 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 v2 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 v2 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 v2'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.