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Run Mistral 7B Instruct v0.2 on iPhone, iPad & Mac

Mistral 7B Instruct v0.2 runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.

7.2BiPhoneiPadMac

Download the quantized weights

These are the exact OmniQuant weights Private LLM runs for Mistral 7B Instruct v0.2, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM.

Specifications

Parameters
7.2B
Context window
33K tokens
License
Apache 2.0
Quantization
OmniQuant 3-bit, OmniQuant 4-bit
Family
Mistral 7B

What Mistral 7B Instruct v0.2 is good at

general

Mistral 7B Instruct v0.2 is an updated large language model fine-tuned to follow instructions. It is good at understanding and generating text for tasks like conversation and answering questions. This version has a longer context window of 32,000 tokens compared to the previous version.

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 Mistral 7B Instruct v0.2 in Private LLM

  1. Download Private LLM from the App Store.
  2. Open the in-app model library and choose Mistral 7B Instruct v0.2.
  3. Download the model once, then chat fully offline.
Download Private LLM on the App StoreJoin our Discord

Variants & related models

Mistral logo

CodeNinja 1.0 OpenChat 7B

7.2B
coding
8K contextiPhone & iPad · Mac
Mistral logo

DictaLM 2.0 Instruct

7.3B
multilingual
33K contextiPhone & iPad · Mac

Frequently asked questions

  • Yes. Mistral 7B Instruct v0.2 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. Mistral 7B Instruct v0.2 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, Mistral 7B Instruct v0.2 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 Mistral 7B Instruct v0.2 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 Mistral 7B Instruct v0.2 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 Mistral 7B Instruct v0.2's Hugging Face model card, released under the Apache 2.0 license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.