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Run Qwen 2.5 7B on iPhone, iPad & Mac

General assistant skilled in coding and math reasoning

Qwen 2.5 7B runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.

7.6BiPhoneiPadMacgeneral

Specifications

Parameters
7.6B
Context window
33K tokens
License
Apache 2.0
Quantization
GPTQ-Int4
Family
Qwen 2.5

What Qwen 2.5 7B is good at

A member of the Qwen 2.5 family, Qwen 2.5 7B has 7.6 billion parameters and a default context length of 32,768 tokens. As an assistant, it follows instructions well and provides knowledgeable answers on a wide range of subjects. It is notably strong at programming and mathematical reasoning.

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 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)

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 Qwen 2.5 7B in Private LLM

  1. Download Private LLM from the App Store.
  2. Open the in-app model library and choose Qwen 2.5 7B.
  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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Uncensored Qwen 2.5 0.5B instruct with full system prompt control

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Dolphin 3.0 Qwen 2.5 1.5B

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Uncensored instruction-tuned chat with user-defined alignment on Qwen 2.5 1.5B

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Dolphin 3.0 Qwen 2.5 3B

3.1B

Uncensored Qwen 2.5 model with full system prompt steerability

33K contextiPhone & iPad · Mac
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EVA D Qwen2.5 1.5B v0.0

1.8B

Roleplay-focused distillation of Qwen 2.5 with 131K context

131K contextiPhone & iPad · Mac
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EVA Qwen2.5 7B v0.1

7.6B

Roleplay finetune of Qwen 2.5 7B for adaptive persona and storytelling

131K contextiPhone & iPad · Mac
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FuseChat Qwen 2.5 7B Instruct

7.6B

General assistant merging knowledge from larger models into Qwen 2.5

33K contextiPhone & iPad · Mac

Frequently asked questions

  • Yes. Qwen 2.5 7B 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, fully on-device in Private LLM — no internet connection required.

  • Yes. Qwen 2.5 7B 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, Qwen 2.5 7B 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 Qwen 2.5 7B 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 Qwen 2.5 7B 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 Qwen 2.5 7B's Hugging Face model card, released under the Apache 2.0 license. Private LLM ships its own quantized models, built with GPTQ-Int4 quantization tuned per model, and isn't affiliated with the model's authors.