Run FuseChat Llama 3.1 8B Instruct on iPhone, iPad & Mac
General-purpose assistant boosting instruction following over Llama 3.1 8B
FuseChat 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.
Model on Hugging Face
Specifications
- Parameters
- 8B
- Context window
- 131K tokens
- License
- Apache 2.0
- Quantization
- OmniQuant 3-bit, OmniQuant 4-bit
- Family
- Llama 3.1 8B
What FuseChat Llama 3.1 8B Instruct is good at
FuseChat Llama 3.1 8B Instruct boosts its Llama 3.1 8B base by an average of 6.8 points across 14 benchmarks. It is an 8-billion-parameter assistant with a 131,072-token context window, built on the Llama 3.1 8B family. It is notably strong at instruction following, achieving improvements of 37.1 points on AlpacaEval-2 and 30.1 points on Arena-Hard compared to the original Llama 3.1 8B Instruct.
Which of your devices can run it
iPhone
iPad
Mac
How to run FuseChat Llama 3.1 8B Instruct in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose FuseChat Llama 3.1 8B Instruct.
- Download the model once, then chat fully offline.
Variants & related models
Dolphin 3.0 Llama 3.1 8B
Uncensored instruction-tuned Llama 3.1 8B with user-defined boundaries via system prompt
Hermes 3 Llama 3.1 8B
General-purpose Llama 3.1 8B model handling 131k-token contexts and function calling
Llama 3.1 8B Lexi Uncensored V2
Uncensored Llama 3.1 8B finetune with safety refusals removed
Llama 3.1 8B UltraMedical
Medical exam and clinical knowledge specialist built on Llama 3.1 8B
Meta Llama 3.1 8B Instruct
General-purpose model in the Llama 3.1 8B family
Meta Llama 3.1 8B Instruct Abliterated
Uncensored Llama 3.1 8B Instruct with refusal disabled by abliteration
Frequently asked questions
Yes. FuseChat 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. FuseChat 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, FuseChat 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 FuseChat 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 FuseChat 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 FuseChat Llama 3.1 8B 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.