[Models](/models) / [Phi 3 Mini 3.8B](/models?family=Phi%203%20Mini%203.8B#models-gallery) / Phi 3 Mini 4K Instruct ![Microsoft logo](/model-logos/microsoft.svg) # Run Phi 3 Mini 4K Instruct on iPhone, iPad & Mac Phi 3 Mini 4K Instruct runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server. 3.8BiPhoneiPadMac ## Download the quantized weights These are the exact OmniQuant weights Private LLM runs for Phi 3 Mini 4K Instruct, 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/Phi-3-mini-4k-instruct-w4a16g128asym) - [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/Phi-3-mini-4k-instruct-w4a16g128asym_1) ## Specifications Parameters 3.8B Context window 4K tokens License MIT Quantization OmniQuant 4-bit Family Phi 3 Mini 3.8B ## What Phi 3 Mini 4K Instruct is good at general Phi 3 Mini 4K Instruct is a small language model with 3.8 billion parameters designed for tasks requiring strong reasoning, especially in math and logic. It works well in environments with limited memory or computing power and supports a context length of 4,000 tokens. The model is best used for English language applications and follows instructions in a chat format. ## 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 Phi 3 Mini 4K Instruct in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose Phi 3 Mini 4K Instruct. 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 ![Microsoft logo](/model-logos/microsoft.svg) ### Kappa 3 Phi Abliterated 3.8B uncensored 4K contextiPhone & iPad · Mac [View details →](/models/kappa-3-phi-abliterated) ![Meta logo](/model-logos/meta.svg) ### Airoboros l2 7b 3.0 6.7B general 4K contextiPhone & iPad · Mac [View details →](/models/airoboros-l2-7b-3.0) ![Mistral logo](/model-logos/mistral.svg) ### Airoboros M 7B 7.2B general 33K contextMac [View details →](/models/airoboros-m-7b-3.1.2) ![Meta logo](/model-logos/meta.svg) ### Cat Llama 3 70B Instruct 70.6B general 8K contextMac [View details →](/models/cat-llama-3-70b-instruct) ![Google Gemma logo](/model-logos/gemma.svg) ### FuseChat Gemma 2 9B Instruct 9.2B general 8K contextiPhone & iPad · Mac [View details →](/models/fusechat-gemma-2-9b-instruct) ![Meta logo](/model-logos/meta.svg) ### FuseChat Llama 3.1 8B Instruct 8B general 131K contextiPhone & iPad · Mac [View details →](/models/fusechat-llama-3.1-8b-instruct) ## Frequently asked questions - Can I run Phi 3 Mini 4K Instruct on iPhone? Yes. Phi 3 Mini 4K Instruct 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 Phi 3 Mini 4K Instruct on Mac? Yes. Phi 3 Mini 4K Instruct 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 Phi 3 Mini 4K Instruct work offline? Yes. Once downloaded in Private LLM, Phi 3 Mini 4K Instruct runs 100% on-device — no internet connection, and nothing is sent to any server. - Is Phi 3 Mini 4K Instruct 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 Phi 3 Mini 4K Instruct 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 Phi 3 Mini 4K Instruct 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 Phi 3 Mini 4K Instruct's [Hugging Face model card](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct), 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.