Skip to content

Run TinyLlama 1.1B Chat on iPhone & iPad

Conversational assistant fine-tuned from TinyLlama 1B for on-device use

TinyLlama 1.1B Chat runs 100% private on iPhone & iPad inside Private LLM — no internet connection required, no data sent to any server.

1.1BiPhoneiPadgeneral

Specifications

Parameters
1.1B
Context window
2K tokens
License
Apache 2.0
Quantization
OmniQuant 4-bit
Family
TinyLlama 1B

What TinyLlama 1.1B Chat is good at

With just 1.1 billion parameters, TinyLlama 1.1B Chat is a small assistant language model fine-tuned for conversation and instruction following from the TinyLlama 1B family. It shares Llama 2’s architecture and tokenizer, so it slots easily into Llama-based projects. It runs efficiently on devices with tight memory and compute limits.

Which of your devices can run it

iPhone

iPhone 17 Pro MaxiPhone 17 ProiPhone AiriPhone 17iPhone 16 Pro / 16 Pro MaxiPhone 16 / 16 PlusiPhone 16eiPhone 15 Pro / 15 Pro MaxiPhone 15 / 15 PlusiPhone 14 / 14 Plus / 14 Pro / 14 Pro MaxiPhone 13 Pro / 13 Pro MaxiPhone 13 / 13 miniiPhone SE (3rd gen)iPhone 12 Pro / 12 Pro MaxiPhone 12 / 12 miniiPhone 11 / 11 Pro / 11 Pro MaxiPhone XS / XS Max

iPad

iPad Pro (M5, 16GB)iPad Pro (M5, 12GB)iPad Pro (M4, 16GB)iPad Pro (M4, 8GB)iPad Pro (M2, 16GB)iPad Pro (M2, 8GB)iPad Pro (M1, 16GB)iPad Pro (M1, 8GB)iPad Air (M4)iPad Air (M3)iPad Air (M2)iPad Air (M1)iPad Air (4th gen)iPad mini (A17 Pro)iPad mini (6th gen)iPad (A16)iPad (10th gen)

Browse every model that fits iPhone or Mac.

How to run TinyLlama 1.1B Chat in Private LLM

  1. Download Private LLM from the App Store.
  2. Open the in-app model library and choose TinyLlama 1.1B Chat.
  3. Download the model once, then chat fully offline.
Download Private LLM on the App StoreJoin our Discord

Variants & related models

TinyDolphin 2.8 1.1B Chat

1.1B

Uncensored conversation specialist built on TinyLlama 1.1B

4K contextiPhone & iPad
Meta logo

Airoboros l2 7b 3.0

6.7B

Instruction following specialist built on Llama 2 7B

4K contextiPhone & iPad · Mac
Mistral logo

Airoboros M 7B

7.2B

General instruction-following model built on Mistral with structured math output

33K contextMac
Meta logo

Cat Llama 3 70B Instruct

70.6B

Immersive roleplay via strict prompt adherence, Llama 3 70B finetune

8K contextMac
Google Gemma logo

FuseChat Gemma 2 9B Instruct

9.2B

General-purpose assistant distilled from four larger models into Gemma 2 9B

8K contextiPhone & iPad · Mac
Meta logo

FuseChat Llama 3.1 8B Instruct

8B

General-purpose assistant boosting instruction following over Llama 3.1 8B

131K contextiPhone & iPad · Mac

Frequently asked questions

  • Yes. TinyLlama 1.1B Chat 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 13 / 13 mini, iPhone SE (3rd gen), iPhone 12 Pro / 12 Pro Max, iPhone 12 / 12 mini, iPhone 11 / 11 Pro / 11 Pro Max, iPhone XS / XS Max, fully on-device in Private LLM — no internet connection required.

  • TinyLlama 1.1B Chat runs on iPhone and iPad in Private LLM; a Mac is not required.

  • Yes. Once downloaded in Private LLM, TinyLlama 1.1B Chat 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 TinyLlama 1.1B Chat 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 TinyLlama 1.1B Chat 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 TinyLlama 1.1B Chat'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.