Run DictaLM 2.0 Instruct on iPhone, iPad & Mac
Hebrew-first multilingual chat and translation model based on Mistral 7B
DictaLM 2.0 Instruct runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 7.3B
- Context window
- 33K tokens
- License
- Apache 2.0
- Quantization
- OmniQuant 3-bit, OmniQuant 4-bit
- Family
- Mistral 7B
What DictaLM 2.0 Instruct is good at
DictaLM 2.0 Instruct has a context length of 32,768 tokens and 7.3 billion parameters, built on the Mistral 7B family. It is designed primarily for Hebrew, with strong cross-lingual abilities in chat and translation between Hebrew and English. The model is instruction-tuned for conversational tasks and uses a special prompt format with [INST] and [/INST] tokens.
Which of your devices can run it
iPhone
iPad
Mac
How to run DictaLM 2.0 Instruct in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose DictaLM 2.0 Instruct.
- Download the model once, then chat fully offline.
Variants & related models
Airoboros M 7B
General instruction-following model built on Mistral with structured math output
BioMistral 7B
Survival-focused biomedical research model built on Mistral 7B Instruct
Cerbero 7B
Multilingual Italian comprehension and sentiment fine-tune of Mistral 7B
CodeNinja 1.0 OpenChat 7B
Code completion and refactoring specialist built on OpenChat 3.5
Dolphin 2.8 Mistral 7B v0.2
Uncensored Mistral 7B model requiring user-applied safety filters
Frequently asked questions
Yes. DictaLM 2.0 Instruct runs on iPhone models with enough memory, such as iPhone 17 Pro Max, iPhone 17 Pro, iPhone Air, iPhone 17, iPhone 16 Pro / 16 Pro Max, iPhone 16 / 16 Plus, iPhone 16e, iPhone 15 Pro / 15 Pro Max, iPhone 15 / 15 Plus, iPhone 14 / 14 Plus / 14 Pro / 14 Pro Max, iPhone 13 Pro / 13 Pro Max, iPhone 12 Pro / 12 Pro Max, fully on-device in Private LLM — no internet connection required.
Yes. DictaLM 2.0 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), Mac (Apple Silicon, 8GB), fully on-device in Private LLM.
Yes. Once downloaded in Private LLM, DictaLM 2.0 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 DictaLM 2.0 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 DictaLM 2.0 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 DictaLM 2.0 Instruct'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.