Run Gemma 2 Ifable 9B on iPad & Mac
Roleplay specialist ranked first for creative writing on Gemma 2 9B
Gemma 2 Ifable 9B 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
- 9B
- Context window
- 8K tokens
- License
- Gemma
- Quantization
- OmniQuant 4-bit
- Family
- Gemma 2 9B
What Gemma 2 Ifable 9B is good at
On September 10, 2024, this model ranked first on a creative writing benchmark. It is the Gemma 2 Ifable 9B, from the Gemma 2 9B family, and works with up to 8192 tokens of context. It shines in storytelling, roleplay, and long-form writing, and its flexible tone can shift across different personas and styles. The model was trained on Project Gutenberg books and a proprietary creative writing dataset, using a reference-free preference optimization method.
Which of your devices can run it
iPad
Mac
How to run Gemma 2 Ifable 9B in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose Gemma 2 Ifable 9B.
- Download the model once, then chat fully offline.
Variants & related models
FuseChat Gemma 2 9B Instruct
General-purpose assistant distilled from four larger models into Gemma 2 9B
Gemma 2 9B IT SPPO Iter3
General assistant refined from Gemma 2 9B via three rounds of self-play training
Tiger Gemma 9B v3
Uncensored roleplay and text generation finetune of Gemma 2 9B
Cat Llama 3 70B Instruct
Immersive roleplay via strict prompt adherence, Llama 3 70B finetune
EVA D Qwen2.5 1.5B v0.0
Roleplay-focused distillation of Qwen 2.5 with 131K context
Frequently asked questions
Gemma 2 Ifable 9B is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. Gemma 2 Ifable 9B 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, Gemma 2 Ifable 9B 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 Gemma 2 Ifable 9B 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 Gemma 2 Ifable 9B 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 Gemma 2 Ifable 9B's Hugging Face model card, released under the Gemma license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.