[Models](/models) / [Mistral 7B](/models?family=Mistral%207B#models-gallery) / Mistral 7B OpenOrca ![Mistral logo](/model-logos/mistral.svg) # Run Mistral 7B OpenOrca on Mac Mistral 7B OpenOrca 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 Mistral 7B OpenOrca, 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/Mistral-7B-OpenOrca-w4a16g128asym) ## Specifications Parameters 7B Context window 33K tokens License Apache 2.0 Quantization OmniQuant 4-bit Family Mistral 7B ## What Mistral 7B OpenOrca is good at general Mistral 7B OpenOrca is a fine-tuned version of the Mistral 7B language model, trained on a filtered subset of the OpenOrca dataset. It is designed to follow instructions and perform well on reasoning and knowledge benchmarks. At its release, it achieved top scores among models under 30 billion parameters on the HuggingFace leaderboard. ## 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 Mistral 7B OpenOrca in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose Mistral 7B OpenOrca. 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) ### Cerbero 7B 7B multilingual 33K contextMac [View details →](/models/cerbero-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) ## Frequently asked questions - Can I run Mistral 7B OpenOrca on iPhone? Mistral 7B OpenOrca is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline. - Can I run Mistral 7B OpenOrca on Mac? Yes. Mistral 7B OpenOrca 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 Mistral 7B OpenOrca work offline? Yes. Once downloaded in Private LLM, Mistral 7B OpenOrca runs 100% on-device — no internet connection, and nothing is sent to any server. - Is Mistral 7B OpenOrca 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 Mistral 7B OpenOrca 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 Mistral 7B OpenOrca 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 Mistral 7B OpenOrca's [Hugging Face model card](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca), 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.