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Run Mistral 7B OpenOrca on Mac

General purpose Mistral 7B instruction model with 32k context

Mistral 7B OpenOrca runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.

7BMacgeneral

Model on Hugging Face

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

Mistral 7B OpenOrca ranked first among all models under 30 billion parameters on the HuggingFace leaderboard at its release. It is an instruction-following assistant built from the Mistral 7B family, with a 32,768-token context window. It handles general knowledge and complex requests reliably. Its conversational performance on the MT-Bench evaluation matches the much larger Llama 2 70B chat 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)Mac (Apple Silicon, 8GB)

Browse every model that fits iPhone or 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 StoreJoin our Discord

Variants & related models

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Cerbero 7B

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33K contextMac
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CodeNinja 1.0 OpenChat 7B

7.2B

Code completion and refactoring specialist built on OpenChat 3.5

8K contextiPhone & iPad · Mac
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DictaLM 2.0 Instruct

7.3B

Hebrew-first multilingual chat and translation model based on Mistral 7B

33K contextiPhone & iPad · Mac
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Dolphin 2.1 Mistral

7.2B

Uncensored Mistral 7B finetune with 32K context

33K contextMac

Frequently asked questions

  • Mistral 7B OpenOrca is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.

  • 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.

  • Yes. Once downloaded in Private LLM, Mistral 7B OpenOrca runs 100% on-device — no internet connection, and nothing is sent to any server.

  • 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, well before Apple Intelligence, LM Studio, Ollama, etc. 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.

Specifications and summary come from Mistral 7B OpenOrca's Hugging Face model card, 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.