[Models](/models) / [Llama 3.3 70B](/models?family=Llama%203.3%2070B#models-gallery) / Llama 3.3 70B Euryale v2.3 ![Meta logo](/model-logos/meta.svg) # Run Llama 3.3 70B Euryale v2.3 on Mac Llama 3.3 70B Euryale v2.3 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 Llama 3.3 70B Euryale v2.3, 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/L3.3-70B-Euryale-v2.3-w3a16g40sym) - [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/L3.3-70B-Euryale-v2.3-w4a16g128sym) ## Specifications Parameters 70.6B Context window 131K tokens License Llama 3 Quantization OmniQuant 3-bit, OmniQuant 4-bit Family Llama 3.3 70B ## What Llama 3.3 70B Euryale v2.3 is good at [creative](/models/creative) L3.3 70B Euryale v2.3 is a large language model built on top of Llama 3.3 Instruct, designed as a direct upgrade to the previous Euryale v2.2. It is fine-tuned for creative writing and roleplay tasks. The model uses a specific prompt format and works best with a temperature setting around 1.1. ## 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 Llama 3.3 70B Euryale v2.3 in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose Llama 3.3 70B Euryale v2.3. 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) ### EVA LLaMA 3.33 70B v0.1 70.6B creative 131K contextMac [View details →](/models/eva-llama-3.33-70b-v0.1) ![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 Llama 3.3 70B Euryale v2.3 on iPhone? Llama 3.3 70B Euryale v2.3 is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline. - Can I run Llama 3.3 70B Euryale v2.3 on Mac? Yes. Llama 3.3 70B Euryale v2.3 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 Llama 3.3 70B Euryale v2.3 work offline? Yes. Once downloaded in Private LLM, Llama 3.3 70B Euryale v2.3 runs 100% on-device — no internet connection, and nothing is sent to any server. - Is Llama 3.3 70B Euryale v2.3 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 Llama 3.3 70B Euryale v2.3 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 Llama 3.3 70B Euryale v2.3 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 Llama 3.3 70B Euryale v2.3's [Hugging Face model card](https://huggingface.co/Sao10K/L3.3-70B-Euryale-v2.3), released under the Llama 3 license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.