[Models](/models) / [StableLM 3B](/models?family=StableLM%203B#models-gallery) / StableLM Zephyr 3B ![Stability AI logo](/model-logos/stability.svg) # Run StableLM Zephyr 3B on Mac StableLM Zephyr 3B runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server. 2.8BMac ## Download the quantized weights These are the exact OmniQuant weights Private LLM runs for StableLM Zephyr 3B, 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/stablelm-zephyr-3b-w4a16g128asym) ## Specifications Parameters 2.8B Context window 4K tokens License Other Quantization OmniQuant 4-bit Family StableLM 3B ## What StableLM Zephyr 3B is good at general StableLM Zephyr 3B is a 3 billion parameter language model from Stability AI, fine-tuned to follow instructions and engage in chat. It is good at tasks like answering questions and generating text, with performance that competes with some larger models on benchmarks like MT Bench and AlpacaEval. The model is intended as a base for further fine-tuning and requires safety measures to prevent harmful outputs. ## 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 StableLM Zephyr 3B in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose StableLM Zephyr 3B. 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 ![Stability AI logo](/model-logos/stability.svg) ### Nous Capybara 3B V1.9 2.8B general 4K contextiPhone & iPad [View details →](/models/nous-capybara-3b-v1.9) ![Stability AI logo](/model-logos/stability.svg) ### Rocket 3B 2.8B general 4K contextiPhone & iPad [View details →](/models/rocket-3b) ![Stability AI logo](/model-logos/stability.svg) ### StableLM 2 Zephyr 1.6B 1.6B general 4K contextiPhone & iPad [View details →](/models/stablelm-2-zephyr-1-6b) ![Meta logo](/model-logos/meta.svg) ### Airoboros l2 7b 3.0 6.7B general 4K contextiPhone & iPad · Mac [View details →](/models/airoboros-l2-7b-3.0) ![Mistral logo](/model-logos/mistral.svg) ### Airoboros M 7B 7.2B general 33K contextMac [View details →](/models/airoboros-m-7b-3.1.2) ![Meta logo](/model-logos/meta.svg) ### Cat Llama 3 70B Instruct 70.6B general 8K contextMac [View details →](/models/cat-llama-3-70b-instruct) ## Frequently asked questions - Can I run StableLM Zephyr 3B on iPhone? StableLM Zephyr 3B is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline. - Can I run StableLM Zephyr 3B on Mac? Yes. StableLM Zephyr 3B 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 StableLM Zephyr 3B work offline? Yes. Once downloaded in Private LLM, StableLM Zephyr 3B runs 100% on-device — no internet connection, and nothing is sent to any server. - Is StableLM Zephyr 3B 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 StableLM Zephyr 3B 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 StableLM Zephyr 3B 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 StableLM Zephyr 3B's [Hugging Face model card](https://huggingface.co/stabilityai/stablelm-zephyr-3b). Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.