[Models](/models) / [Solar 10B](/models?family=Solar%2010B#models-gallery) / Nous Hermes 2 SOLAR 10.7B

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# Run Nous Hermes 2 SOLAR 10.7B on Mac

Nous Hermes 2 SOLAR 10.7B runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.

10.7BMac

## Download the quantized weights

These are the exact OmniQuant weights Private LLM runs for Nous Hermes 2 SOLAR 10.7B, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM.

-   [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/Nous-Hermes-2-SOLAR-10.7B-w4a16g128asym)

## Specifications

Parameters

10.7B

Context window

4K tokens

License

Apache 2.0

Quantization

OmniQuant 4-bit

Family

Solar 10B

## What Nous Hermes 2 SOLAR 10.7B is good at

general

Nous Hermes 2 Solar 10.7B is a language model built on the Solar 10.7B base. It was trained on a large set of high quality data, mostly generated by GPT-4. The model is good at following instructions, engaging in multi-turn chat conversations, and shows improved performance on reasoning and knowledge benchmarks compared to the original base model.

## 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)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 Nous Hermes 2 SOLAR 10.7B in Private LLM

1.  Download Private LLM from the App Store.
2.  Open the in-app model library and choose Nous Hermes 2 SOLAR 10.7B.
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

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### Airoboros M 7B

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### FuseChat Gemma 2 9B Instruct

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### FuseChat Llama 3.1 8B Instruct

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### FuseChat Llama 3.2 1B Instruct

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## Frequently asked questions

-   Can I run Nous Hermes 2 SOLAR 10.7B on iPhone?
    
    Nous Hermes 2 SOLAR 10.7B 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 SOLAR 10.7B on Mac?
    
    Yes. Nous Hermes 2 SOLAR 10.7B 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 Nous Hermes 2 SOLAR 10.7B work offline?
    
    Yes. Once downloaded in Private LLM, Nous Hermes 2 SOLAR 10.7B runs 100% on-device — no internet connection, and nothing is sent to any server.
    
-   Is Nous Hermes 2 SOLAR 10.7B 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 Nous Hermes 2 SOLAR 10.7B 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 Nous Hermes 2 SOLAR 10.7B 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).

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Specifications and summary come from Nous Hermes 2 SOLAR 10.7B's [Hugging Face model card](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B), 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.