[Models](/models) / [StableLM 3B](/models?family=StableLM%203B#models-gallery) / Nous Capybara 3B V1.9

![Stability AI logo](/model-logos/stability.svg)

# Run Nous Capybara 3B V1.9 on iPhone & iPad

Nous Capybara 3B V1.9 runs 100% private on iPhone & iPad inside Private LLM — no internet connection required, no data sent to any server.

2.8BiPhoneiPad

## Download the quantized weights

These are the exact OmniQuant weights Private LLM runs for Nous Capybara 3B V1.9, 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/Nous-Capybara-3B-V1.9-w4a16g128asym)

## Specifications

Parameters

2.8B

Context window

4K tokens

License

MIT

Quantization

OmniQuant 4-bit

Family

StableLM 3B

## What Nous Capybara 3B V1.9 is good at

general

Nous Capybara 3B V1.9 is a small language model fine-tuned by Nous Research on a compact, mostly in-house dataset of around 20,000 conversational examples. It is good at multi-turn conversations, summarizing complex topics, and recalling information up to late 2022. The model was created using a new data synthesis method called Amplify-instruct.

## 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 13 / 13 miniiPhone SE (3rd gen)iPhone 12 Pro / 12 Pro MaxiPhone 12 / 12 miniiPhone 11 / 11 Pro / 11 Pro MaxiPhone XS / XS 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 Air (4th gen)iPad mini (A17 Pro)iPad mini (6th gen)iPad (A16)iPad (10th gen)

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

## How to run Nous Capybara 3B V1.9 in Private LLM

1.  Download Private LLM from the App Store.
2.  Open the in-app model library and choose Nous Capybara 3B V1.9.
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

![Stability AI logo](/model-logos/stability.svg)

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### StableLM 2 Zephyr 1.6B

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[View details →](/models/stablelm-2-zephyr-1-6b)

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### StableLM Zephyr 3B

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### Airoboros l2 7b 3.0

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### Airoboros M 7B

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### Cat Llama 3 70B Instruct

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[View details →](/models/cat-llama-3-70b-instruct)

## Frequently asked questions

-   Can I run Nous Capybara 3B V1.9 on iPhone?
    
    Yes. Nous Capybara 3B V1.9 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.
    
-   Can I run Nous Capybara 3B V1.9 on Mac?
    
    Nous Capybara 3B V1.9 runs on iPhone and iPad in Private LLM; a Mac is not required.
    
-   Does Nous Capybara 3B V1.9 work offline?
    
    Yes. Once downloaded in Private LLM, Nous Capybara 3B V1.9 runs 100% on-device — no internet connection, and nothing is sent to any server.
    
-   Is Nous Capybara 3B V1.9 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 Nous Capybara 3B V1.9 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 Nous Capybara 3B V1.9 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

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#### 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 Nous Capybara 3B V1.9's [Hugging Face model card](https://huggingface.co/NousResearch/Nous-Capybara-3B-V1.9), 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.