Run Airoboros M 7B on Mac
General instruction-following model built on Mistral with structured math output
Airoboros M 7B runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 7.2B
- Context window
- 33K tokens
- License
- Apache 2.0
- Quantization
- OmniQuant 4-bit
- Family
- Mistral 7B
What Airoboros M 7B is good at
Airoboros M 7B is a 7.2 billion parameter instruction-following model based on Mistral 7B, with a 32,768 token context window. It was trained on synthetic data to prioritize following detailed instructions over casual conversation. It solves math problems by outputting a structured MathJSON format that can be parsed and calculated deterministically, reducing errors.
Which of your devices can run it
Mac
How to run Airoboros M 7B in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose Airoboros M 7B.
- Download the model once, then chat fully offline.
Variants & related models
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DictaLM 2.0 Instruct
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Dolphin 2.8 Mistral 7B v0.2
Uncensored Mistral 7B model requiring user-applied safety filters
Frequently asked questions
Airoboros M 7B is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. Airoboros M 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.
Yes. Once downloaded in Private LLM, Airoboros M 7B 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 Airoboros M 7B 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 Airoboros M 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.
Specifications and summary come from Airoboros M 7B'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.