Run DeepSeek R1 Distill Qwen 14B on iPad & Mac
DeepSeek R1 Distill Qwen 14B runs 100% private on iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.
Download the quantized weights
These are the exact GPTQ-Int4 weights Private LLM runs for DeepSeek R1 Distill Qwen 14B, 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
- 14.8B
- Context window
- 131K tokens
- License
- MIT
- Quantization
- GPTQ-Int4
- Family
- DeepSeek R1 Distill
What DeepSeek R1 Distill Qwen 14B is good at
DeepSeek R1 is a reasoning model trained with reinforcement learning to solve complex problems in math, code, and logic. It matches the performance of other top models on these tasks and can also be distilled into smaller, efficient versions. The model is open source and available for both research and commercial use.
Which of your devices can run it
iPad
Mac
How to run DeepSeek R1 Distill Qwen 14B in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose DeepSeek R1 Distill Qwen 14B.
- Download the model once, then chat fully offline.
Variants & related models
DeepSeek R1 Distill Llama 8B Abliterated
Frequently asked questions
DeepSeek R1 Distill Qwen 14B is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. DeepSeek R1 Distill Qwen 14B 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), fully on-device in Private LLM.
Yes. Once downloaded in Private LLM, DeepSeek R1 Distill Qwen 14B 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 DeepSeek R1 Distill Qwen 14B 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 DeepSeek R1 Distill Qwen 14B 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 DeepSeek R1 Distill Qwen 14B's Hugging Face model card, released under the MIT license. Private LLM ships its own quantized models, built with GPTQ-Int4 quantization tuned per model, and isn't affiliated with the model's authors.