[Models](/models) / [Mixtral 8x7B](/models?family=Mixtral%208x7B#models-gallery) / Nous Hermes 2 Mixtral 8x7B DPO

![Mistral logo](/model-logos/mistral.svg)

# Run Nous Hermes 2 Mixtral 8x7B DPO on Mac

Nous Hermes 2 Mixtral 8x7B DPO runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.

46.7BMac

## Download the quantized weights

These are the exact OmniQuant weights Private LLM runs for Nous Hermes 2 Mixtral 8x7B DPO, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM.

-   [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/Nous-Hermes-2-Mixtral-8x7B-DPO-w4a16g128asym_1)

## Specifications

Parameters

46.7B

Context window

33K tokens

License

Apache 2.0

Quantization

OmniQuant 4-bit

Family

Mixtral 8x7B

## What Nous Hermes 2 Mixtral 8x7B DPO is good at

general

Nous Hermes 2 Mixtral 8x7B DPO is a large language model fine-tuned by Nous Research on over a million examples, mostly from GPT-4. It is designed for general tasks like writing, coding, and following instructions in a chat format. The model shows strong performance on reasoning and knowledge benchmarks compared to other Mixtral-based models.

## Which of your devices can run it

### 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)

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

## How to run Nous Hermes 2 Mixtral 8x7B DPO in Private LLM

1.  Download Private LLM from the App Store.
2.  Open the in-app model library and choose Nous Hermes 2 Mixtral 8x7B DPO.
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

![Mistral logo](/model-logos/mistral.svg)

### Dolphin 2.6 Mixtral 8x7B

56B

uncensored

33K contextMac

[View details →](/models/dolphin-2.6-mixtral-8x7b)

![Mistral logo](/model-logos/mistral.svg)

### Mixtral 8x7B Instruct v0.1

46.7B

general

33K contextMac

[View details →](/models/mixtral-8x7b-instruct-v0.1)

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

### Airoboros l2 7b 3.0

6.7B

general

4K contextiPhone & iPad · Mac

[View details →](/models/airoboros-l2-7b-3.0)

![Mistral logo](/model-logos/mistral.svg)

### Airoboros M 7B

7.2B

general

33K contextMac

[View details →](/models/airoboros-m-7b-3.1.2)

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

### Cat Llama 3 70B Instruct

70.6B

general

8K contextMac

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

![Google Gemma logo](/model-logos/gemma.svg)

### FuseChat Gemma 2 9B Instruct

9.2B

general

8K contextiPhone & iPad · Mac

[View details →](/models/fusechat-gemma-2-9b-instruct)

## Frequently asked questions

-   Can I run Nous Hermes 2 Mixtral 8x7B DPO on iPhone?
    
    Nous Hermes 2 Mixtral 8x7B DPO is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
    
-   Can I run Nous Hermes 2 Mixtral 8x7B DPO on Mac?
    
    Yes. Nous Hermes 2 Mixtral 8x7B DPO 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), fully on-device in Private LLM.
    
-   Does Nous Hermes 2 Mixtral 8x7B DPO work offline?
    
    Yes. Once downloaded in Private LLM, Nous Hermes 2 Mixtral 8x7B DPO runs 100% on-device — no internet connection, and nothing is sent to any server.
    
-   Is Nous Hermes 2 Mixtral 8x7B DPO 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 Hermes 2 Mixtral 8x7B DPO 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 Hermes 2 Mixtral 8x7B DPO 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 Nous Hermes 2 Mixtral 8x7B DPO's [Hugging Face model card](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO), 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.