[Models](/models) / [Mistral 7B](/models?family=Mistral%207B#models-gallery) / Cerbero 7B ![Mistral logo](/model-logos/mistral.svg) # Run Cerbero 7B on Mac Cerbero 7B runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server. 7BMac ## Download the quantized weights These are the exact OmniQuant weights Private LLM runs for Cerbero 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/cerbero-7b-w4a16g128asym) ## Specifications Parameters 7B Context window 33K tokens License Apache 2.0 Quantization OmniQuant 4-bit Family Mistral 7B ## What Cerbero 7B is good at [multilingual](/models/multilingual) Cerbero 7B is an open source Italian language model built on Mistral 7B, designed for understanding and generating Italian text. It performs well on tasks like question answering, toxicity detection, irony detection, and sentiment analysis in Italian. The model is free for both research and commercial use under the Apache 2.0 license. ## 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)Mac (Apple Silicon, 8GB) Browse every model that fits [iPhone](/models/best-for-iphone) or [Mac](/models/best-for-mac). ## How to run Cerbero 7B in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose Cerbero 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 ![Mistral logo](/model-logos/mistral.svg) ### Airoboros M 7B 7.2B general 33K contextMac [View details →](/models/airoboros-m-7b-3.1.2) ![Mistral logo](/model-logos/mistral.svg) ### BioMistral 7B 7B biomedical 33K contextMac [View details →](/models/biomistral-7b) ![Mistral logo](/model-logos/mistral.svg) ### CodeNinja 1.0 OpenChat 7B 7.2B coding 8K contextiPhone & iPad · Mac [View details →](/models/codeninja-1.0-openchat-7b) ![Mistral logo](/model-logos/mistral.svg) ### DictaLM 2.0 Instruct 7.3B multilingual 33K contextiPhone & iPad · Mac [View details →](/models/dictalm2.0-instruct) ![Mistral logo](/model-logos/mistral.svg) ### Dolphin 2.1 Mistral 7.2B uncensored 33K contextMac [View details →](/models/dolphin-2.1-mistral-7b) ![Mistral logo](/model-logos/mistral.svg) ### Dolphin 2.8 Mistral 7B v0.2 7.2B uncensored 33K contextiPhone & iPad [View details →](/models/dolphin-2.8-mistral-7b-v02) ## Frequently asked questions - Can I run Cerbero 7B on iPhone? Cerbero 7B is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline. - Can I run Cerbero 7B on Mac? Yes. Cerbero 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), Mac (Apple Silicon, 8GB), fully on-device in Private LLM. - Does Cerbero 7B work offline? Yes. Once downloaded in Private LLM, Cerbero 7B runs 100% on-device — no internet connection, and nothing is sent to any server. - Is Cerbero 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 Cerbero 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 Cerbero 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). ### 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 Cerbero 7B's [Hugging Face model card](https://huggingface.co/galatolo/cerbero-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.