Run LLaMA3 iterative DPO final on iPhone, iPad & Mac
LLaMA3 iterative DPO final runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.
Download the quantized weights
These are the exact OmniQuant weights Private LLM runs for LLaMA3 iterative DPO final, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM.
Specifications
- Parameters
- 8B
- Context window
- 8K tokens
- License
- Llama 3
- Quantization
- OmniQuant 3-bit, OmniQuant 4-bit
- Family
- Llama 3 8B
What LLaMA3 iterative DPO final is good at
This is an 8 billion parameter language model called Llama 3 iterative DPO final, trained to follow instructions and engage in conversation. It uses an online iterative training method that helps it perform well on chat benchmarks, often outperforming other models of similar size and even some larger ones. The model is designed for research purposes and can generate helpful responses, but it may still produce unsafe content in certain situations.
Which of your devices can run it
iPhone
iPad
Mac
How to run LLaMA3 iterative DPO final in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose LLaMA3 iterative DPO final.
- Download the model once, then chat fully offline.
Variants & related models
Frequently asked questions
Yes. LLaMA3 iterative DPO final 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. LLaMA3 iterative DPO final 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, LLaMA3 iterative DPO final 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 LLaMA3 iterative DPO final in Private LLM
Private LLM has run local AI on iPhone, iPad, and Mac since 2023, before Apple Intelligence existed. Inference happens on your device, so your LLaMA3 iterative DPO final 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 LLaMA3 iterative DPO final's Hugging Face model card, released under the Llama 3 license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.