Run FuseChat Gemma 2 9B Instruct on iPad & Mac
General-purpose assistant distilled from four larger models into Gemma 2 9B
FuseChat Gemma 2 9B Instruct runs 100% private on iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
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
FuseChat Gemma 2 9B Instruct packs 9.2 billion parameters and was built by distilling preferences from four much larger language models into Google’s Gemma 2 9B base. It is a strong all-around assistant with solid instruction following, general knowledge, math, and coding skills. The model is particularly good at instruction following, reaching a 70.2% length-controlled win rate on AlpacaEval-2 and a 63.4% win rate on Arena-Hard, both large jumps over the original Gemma 2 9B Instruct. It handles up to 8192 tokens of context and shows balanced improvements across conversation, mathematics, and general reasoning benchmarks.
Which of your devices can run it
iPad
Mac
How to run FuseChat Gemma 2 9B Instruct in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose FuseChat Gemma 2 9B Instruct.
- Download the model once, then chat fully offline.
Variants & related models
Gemma 2 9B IT SPPO Iter3
General assistant refined from Gemma 2 9B via three rounds of self-play training
Gemma 2 Ifable 9B
Roleplay specialist ranked first for creative writing on Gemma 2 9B
Tiger Gemma 9B v3
Uncensored roleplay and text generation finetune of Gemma 2 9B
Airoboros l2 7b 3.0
Instruction following specialist built on Llama 2 7B
Airoboros M 7B
General instruction-following model built on Mistral with structured math output
Frequently asked questions
FuseChat Gemma 2 9B Instruct is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
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.
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.
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, well before Apple Intelligence, LM Studio, Ollama, etc. 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.
Specifications and summary come from FuseChat Gemma 2 9B Instruct's Hugging Face model card. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.