[Models](/models) / [Llama 3 8B](/models?family=Llama%203%208B#models-gallery) / Hermes 2 Theta Llama 3 8B

![Meta logo](/model-logos/meta.svg)

# Run Hermes 2 Theta Llama 3 8B on iPhone, iPad & Mac

Hermes 2 Theta Llama 3 8B runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.

8BiPhoneiPadMac

## Download the quantized weights

These are the exact OmniQuant weights Private LLM runs for Hermes 2 Theta Llama 3 8B, 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 — 3-bit OmniQuant →](https://huggingface.co/numen-tech/Hermes-2-Theta-Llama-3-8B-w3a16g40sym)
-   [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/Hermes-2-Theta-Llama-3-8B-w4a16g128asym)

## Specifications

Parameters

8B

Context window

8K tokens

License

Apache 2.0

Quantization

OmniQuant 3-bit, OmniQuant 4-bit

Family

Llama 3 8B

## What Hermes 2 Theta Llama 3 8B is good at

general

Hermes 2 Theta Llama 3 8B is an experimental language model created by merging and further training two existing models. It is designed for multi-turn chat conversations and can follow structured system prompts. The model is also good at function calling and generating responses in specific JSON formats.

## 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 Hermes 2 Theta Llama 3 8B in Private LLM

1.  Download Private LLM from the App Store.
2.  Open the in-app model library and choose Hermes 2 Theta Llama 3 8B.
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

![Meta logo](/model-logos/meta.svg)

### Dolphin 2.9 Llama 3 8B

8B

uncensored

8K contextiPhone & iPad · Mac

[View details →](/models/dolphin-2.9-llama3-8b)

![Meta logo](/model-logos/meta.svg)

### Hathor\_Stable v0.2 L3 8B

8B

general

8K contextiPhone & iPad · Mac

[View details →](/models/hathor-stable-v0.2-l3-8b)

![Meta logo](/model-logos/meta.svg)

### Hermes 2 Pro Llama 3 8B

8B

general

8K contextiPhone & iPad · Mac

[View details →](/models/hermes-2-pro-llama-3-8b)

![Meta logo](/model-logos/meta.svg)

### L3 Umbral Mind RP v3.0 8B

8B

creative

8K contextiPhone & iPad · Mac

[View details →](/models/l3-umbral-mind-rp-v3.0-8b)

![Meta logo](/model-logos/meta.svg)

### Llama 3 8B Instruct MopeyMule

8B

uncensored

8K contextiPhone & iPad · Mac

[View details →](/models/llama-3-8b-instruct-mopeymule)

![Meta logo](/model-logos/meta.svg)

### Llama 3 Instruct 8B SPPO Iter3

8B

general

8K contextiPhone & iPad · Mac

[View details →](/models/llama-3-instruct-8b-sppo-iter3)

## Frequently asked questions

-   Can I run Hermes 2 Theta Llama 3 8B on iPhone?
    
    Yes. Hermes 2 Theta Llama 3 8B 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 Hermes 2 Theta Llama 3 8B on Mac?
    
    Yes. Hermes 2 Theta Llama 3 8B 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 Hermes 2 Theta Llama 3 8B work offline?
    
    Yes. Once downloaded in Private LLM, Hermes 2 Theta Llama 3 8B runs 100% on-device — no internet connection, and nothing is sent to any server.
    
-   Is Hermes 2 Theta Llama 3 8B 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 Hermes 2 Theta Llama 3 8B 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 Hermes 2 Theta Llama 3 8B 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

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Specifications and summary come from Hermes 2 Theta Llama 3 8B's [Hugging Face model card](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B), 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.