[Models](/models) / [Gemma 2 9B](/models?family=Gemma%202%209B#models-gallery) / FuseChat Gemma 2 9B Instruct ![Google Gemma logo](/model-logos/gemma.svg) # Run FuseChat Gemma 2 9B Instruct on iPad & Mac FuseChat Gemma 2 9B Instruct runs 100% private on iPad & Mac inside Private LLM — no internet connection required, no data sent to any server. 9.2BiPadMac ## Download the quantized weights These are the exact OmniQuant weights Private LLM runs for FuseChat Gemma 2 9B Instruct, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM. - [iPad — 4-bit OmniQuant →](https://huggingface.co/numen-tech/FuseChat-Gemma-2-9B-Instruct-w4a16g128asym) - [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/FuseChat-Gemma-2-9B-Instruct-w4a16g128asym) ## Specifications Parameters 9.2B Context window 8K tokens Quantization OmniQuant 4-bit Family Gemma 2 9B ## What FuseChat Gemma 2 9B Instruct is good at general FuseChat 3.0 is a series of language models that combine the strengths of several larger, powerful models into smaller, more efficient ones. It is good at following instructions, general conversation, mathematics, and coding. The models show notable performance gains, especially on instruction-following tasks. ## Which of your devices can run it ### iPad iPad Pro (M5, 16GB)iPad Pro (M4, 16GB)iPad Pro (M2, 16GB)iPad Pro (M1, 16GB) ### 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) Browse every model that fits [iPhone](/models/best-for-iphone) or [Mac](/models/best-for-mac). ## How to run FuseChat Gemma 2 9B Instruct in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose FuseChat Gemma 2 9B Instruct. 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 ![Google Gemma logo](/model-logos/gemma.svg) ### Gemma 2 9B IT 9.2B general iPhone & iPad · Mac [View details →](/models/gemma-2-9b-it) ![Google Gemma logo](/model-logos/gemma.svg) ### Gemma 2 9B IT SPPO Iter3 9.2B general 8K contextiPhone & iPad · Mac [View details →](/models/gemma-2-9b-it-sppo-iter3) ![Google Gemma logo](/model-logos/gemma.svg) ### Gemma 2 Ifable 9B 9B creative 8K contextiPhone & iPad · Mac [View details →](/models/gemma-2-ifable-9b) ![Google Gemma logo](/model-logos/gemma.svg) ### Tiger Gemma 9B v3 9.2B uncensored 8K contextiPhone & iPad · Mac [View details →](/models/tiger-gemma-9b-v3) ![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) ## Frequently asked questions - Can I run FuseChat Gemma 2 9B Instruct on iPhone? FuseChat Gemma 2 9B Instruct is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline. - Can I run FuseChat Gemma 2 9B Instruct on Mac? Yes. FuseChat Gemma 2 9B Instruct 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), fully on-device in Private LLM. - Does FuseChat Gemma 2 9B Instruct work offline? Yes. Once downloaded in Private LLM, FuseChat Gemma 2 9B Instruct runs 100% on-device — no internet connection, and nothing is sent to any server. - Is FuseChat Gemma 2 9B Instruct 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 FuseChat Gemma 2 9B Instruct 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 FuseChat Gemma 2 9B Instruct 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 FuseChat Gemma 2 9B Instruct's [Hugging Face model card](https://huggingface.co/FuseAI/FuseChat-Gemma-2-9B-Instruct). Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.