Skip to content
Meta logo

Run Meta Llama 3.1 8B Instruct on iPhone, iPad & Mac

General-purpose model in the Llama 3.1 8B family

Meta Llama 3.1 8B Instruct runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.

8BiPhoneiPadMacgeneral

Specifications

Parameters
8B
License
Llama 3.1
Quantization
OmniQuant 3-bit, OmniQuant 4-bit
Family
Llama 3.1 8B

What Meta Llama 3.1 8B Instruct is good at

Meta Llama 3.1 8B Instruct is part of the Llama 3.1 8B family, tuned for general use on Apple devices.

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 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 mini (A17 Pro)

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)Mac (Apple Silicon, 8GB)

Browse every model that fits iPhone or Mac.

How to run Meta Llama 3.1 8B Instruct in Private LLM

  1. Download Private LLM from the App Store.
  2. Open the in-app model library and choose Meta Llama 3.1 8B Instruct.
  3. Download the model once, then chat fully offline.
Download Private LLM on the App StoreJoin our Discord

Variants & related models

Meta logo

Dolphin 3.0 Llama 3.1 8B

8B

Uncensored instruction-tuned Llama 3.1 8B with user-defined boundaries via system prompt

131K 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
Meta logo

Hermes 3 Llama 3.1 8B

8B

General-purpose Llama 3.1 8B model handling 131k-token contexts and function calling

131K contextiPhone & iPad · Mac
Meta logo

Llama 3.1 8B Lexi Uncensored V2

8B

Uncensored Llama 3.1 8B finetune with safety refusals removed

131K contextiPhone & iPad · Mac
Meta logo

Llama 3.1 8B UltraMedical

8B

Medical exam and clinical knowledge specialist built on Llama 3.1 8B

131K contextiPhone & iPad · Mac
Meta logo

Meta Llama 3.1 8B Instruct Abliterated

8B

Uncensored Llama 3.1 8B Instruct with refusal disabled by abliteration

131K contextiPhone & iPad · Mac

Frequently asked questions

  • Yes. Meta Llama 3.1 8B 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, fully on-device in Private LLM — no internet connection required.

  • Yes. Meta Llama 3.1 8B 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, Meta Llama 3.1 8B 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 Meta Llama 3.1 8B 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 Meta Llama 3.1 8B 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 Meta Llama 3.1 8B Instruct's Hugging Face model card, released under the Llama 3.1 license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.