[Models](/models) / [Llama 3.3 70B](/models?family=Llama%203.3%2070B#models-gallery) / EVA LLaMA 3.33 70B v0.1

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

# Run EVA LLaMA 3.33 70B v0.1 on Mac

EVA LLaMA 3.33 70B v0.1 runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.

70.6BMac

## Download the quantized weights

These are the exact OmniQuant weights Private LLM runs for EVA LLaMA 3.33 70B v0.1, 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 — 3-bit OmniQuant →](https://huggingface.co/numen-tech/EVA-LLaMA-3.33-70B-v0.1-w3a16g40sym)
-   [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/EVA-LLaMA-3.33-70B-v0.1-w4a16g128sym)

## Specifications

Parameters

70.6B

Context window

131K tokens

License

Other

Quantization

OmniQuant 3-bit, OmniQuant 4-bit

Family

Llama 3.3 70B

## What EVA LLaMA 3.33 70B v0.1 is good at

[creative](/models/creative)

EVA LLaMA 3.33 70B v0.1 is a fine-tuned version of Llama 3.3 70B Instruct, designed for roleplay and storywriting. It improves creativity, long context understanding, and reduces repetition compared to earlier versions. The model is free for personal, research, and most commercial uses.

## 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)

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

## How to run EVA LLaMA 3.33 70B v0.1 in Private LLM

1.  Download Private LLM from the App Store.
2.  Open the in-app model library and choose EVA LLaMA 3.33 70B v0.1.
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)

### Llama 3.3 70B Euryale v2.3

70.6B

creative

131K contextMac

[View details →](/models/l3.3-70b-euryale-v2.3)

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

### Meta Llama 3.3 70B Instruct

70.6B

general

Mac

[View details →](/models/llama-3.3-70b-instruct)

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

### Llama 3.3 70B Instruct Abliterated

70.6B

uncensored

131K contextMac

[View details →](/models/llama-3.3-70b-instruct-abliterated)

![Qwen logo](/model-logos/qwen.svg)

### EVA D Qwen2.5 1.5B v0.0

1.8B

creative

131K contextiPhone & iPad · Mac

[View details →](/models/eva-d-qwen2.5-1.5b-v0.0)

![Qwen logo](/model-logos/qwen.svg)

### EVA Qwen2.5 14B v0.2

14.8B

creative

131K contextiPhone & iPad · Mac

[View details →](/models/eva-qwen2.5-14b-v0.2)

![Qwen logo](/model-logos/qwen.svg)

### EVA Qwen2.5 32B v0.2

32.8B

creative

131K contextMac

[View details →](/models/eva-qwen2.5-32b-v0.2)

## Frequently asked questions

-   Can I run EVA LLaMA 3.33 70B v0.1 on iPhone?
    
    EVA LLaMA 3.33 70B v0.1 is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
    
-   Can I run EVA LLaMA 3.33 70B v0.1 on Mac?
    
    Yes. EVA LLaMA 3.33 70B v0.1 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), fully on-device in Private LLM.
    
-   Does EVA LLaMA 3.33 70B v0.1 work offline?
    
    Yes. Once downloaded in Private LLM, EVA LLaMA 3.33 70B v0.1 runs 100% on-device — no internet connection, and nothing is sent to any server.
    
-   Is EVA LLaMA 3.33 70B v0.1 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 EVA LLaMA 3.33 70B v0.1 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 EVA LLaMA 3.33 70B v0.1 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 EVA LLaMA 3.33 70B v0.1's [Hugging Face model card](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1). Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.