[Models](/models) / [DeepSeek R1 Distill](/models?family=DeepSeek%20R1%20Distill#models-gallery) / DeepSeek R1 Distill Qwen 7B

![DeepSeek logo](/model-logos/deepseek.svg)

# Run DeepSeek R1 Distill Qwen 7B on iPhone, iPad & Mac

DeepSeek R1 Distill Qwen 7B runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.

7.6BiPhoneiPadMac

## Download the quantized weights

These are the exact GPTQ-Int4 weights Private LLM runs for DeepSeek R1 Distill Qwen 7B, 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 — GPTQ-Int4 →](https://huggingface.co/numen-tech/DeepSeek-R1-Distill-Qwen-7B-GPTQ-Int4)
-   [Mac — GPTQ-Int4 →](https://huggingface.co/numen-tech/DeepSeek-R1-Distill-Qwen-7B-GPTQ-Int4)

## Specifications

Parameters

7.6B

Context window

131K tokens

License

MIT

Quantization

GPTQ-Int4

Family

DeepSeek R1 Distill

## What DeepSeek R1 Distill Qwen 7B is good at

[reasoning](/models/reasoning)

DeepSeek R1 is a large reasoning model trained with reinforcement learning to solve complex problems in math, code, and logic. It matches the performance of other top models like OpenAI o1 on these tasks. Smaller distilled versions, based on Qwen and Llama, are also available and perform very well on benchmarks.

## 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)

Browse every model that fits [iPhone](/models/best-for-iphone) or [Mac](/models/best-for-mac).

## How to run DeepSeek R1 Distill Qwen 7B in Private LLM

1.  Download Private LLM from the App Store.
2.  Open the in-app model library and choose DeepSeek R1 Distill Qwen 7B.
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

![DeepSeek logo](/model-logos/deepseek.svg)

### DeepSeek R1 Distill Llama 70B

70.6B

reasoning

131K contextMac

[View details →](/models/deepseek-r1-distill-llama-70b)

![DeepSeek logo](/model-logos/deepseek.svg)

### DeepSeek R1 Distill Llama 8B

8B

reasoning

131K contextiPhone & iPad · Mac

[View details →](/models/deepseek-r1-distill-llama-8b)

![DeepSeek logo](/model-logos/deepseek.svg)

### DeepSeek R1 Distill Llama 8B Abliterated

8B

uncensoredreasoning

131K contextiPhone & iPad · Mac

[View details →](/models/deepseek-r1-distill-llama-8b-abliterated)

![DeepSeek logo](/model-logos/deepseek.svg)

### DeepSeek R1 Distill Qwen 14B

14.8B

reasoning

131K contextiPhone & iPad · Mac

[View details →](/models/deepseek-r1-distill-qwen-14b)

![DeepSeek logo](/model-logos/deepseek.svg)

### DeepSeek R1 Distill Qwen 32B Abliterated

32.8B

uncensoredreasoning

131K contextMac

[View details →](/models/deepseek-r1-distill-qwen-32b-abliterated)

![DeepSeek logo](/model-logos/deepseek.svg)

### Fuse O1 DeepSeek R1 QwQ SkyT1 32B

32.8B

reasoning

131K contextMac

[View details →](/models/fuseo1-deepseekr1-qwq-skyt1-32b-preview)

## Frequently asked questions

-   Can I run DeepSeek R1 Distill Qwen 7B on iPhone?
    
    Yes. DeepSeek R1 Distill Qwen 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.
    
-   Can I run DeepSeek R1 Distill Qwen 7B on Mac?
    
    Yes. DeepSeek R1 Distill Qwen 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), fully on-device in Private LLM.
    
-   Does DeepSeek R1 Distill Qwen 7B work offline?
    
    Yes. Once downloaded in Private LLM, DeepSeek R1 Distill Qwen 7B runs 100% on-device — no internet connection, and nothing is sent to any server.
    
-   Is DeepSeek R1 Distill Qwen 7B 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 DeepSeek R1 Distill Qwen 7B 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 DeepSeek R1 Distill Qwen 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](/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 DeepSeek R1 Distill Qwen 7B's [Hugging Face model card](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B), released under the MIT 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.