[Models](/models) / [DeepSeek R1 Distill](/models?family=DeepSeek%20R1%20Distill#models-gallery) / DeepSeek R1 Distill Llama 70B ![DeepSeek logo](/model-logos/deepseek.svg) # Run DeepSeek R1 Distill Llama 70B on Mac DeepSeek R1 Distill Llama 70B runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server. 70.6BMac ## Download the quantized weights These are the exact OmniQuant weights Private LLM runs for DeepSeek R1 Distill Llama 70B, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM. - [Mac — 3-bit OmniQuant →](https://huggingface.co/numen-tech/DeepSeek-R1-Distill-Llama-70B-w3a16g40sym) - [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/DeepSeek-R1-Distill-Llama-70B-w4a16g128sym) ## Specifications Parameters 70.6B Context window 131K tokens License MIT Quantization OmniQuant 3-bit, OmniQuant 4-bit Family DeepSeek R1 Distill ## What DeepSeek R1 Distill Llama 70B is good at [reasoning](/models/reasoning) 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 like OpenAI o1 on these tasks. Smaller distilled versions, such as DeepSeek R1 Distill Qwen 32B, also perform very well and are available for public use. ## Which of your devices can run it ### 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) Browse every model that fits [iPhone](/models/best-for-iphone) or [Mac](/models/best-for-mac). ## How to run DeepSeek R1 Distill Llama 70B in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose DeepSeek R1 Distill Llama 70B. 3. Download the model once, then chat fully offline. [![Download Private LLM on the App Store](/app-store/download-badge/en/download.svg)![Download Private LLM on the App Store](/app-store/download-badge/en/download-dark.svg)](/download)[Join our Discord](/discord) ## Variants & related models ![DeepSeek logo](/model-logos/deepseek.svg) ### DeepSeek R1 Distill Llama 8B 8B reasoning 131K contextiPhone & iPad · Mac [View details →](/models/deepseek-r1-distill-llama-8b) ![DeepSeek logo](/model-logos/deepseek.svg) ### DeepSeek R1 Distill Llama 8B Abliterated 8B uncensoredreasoning 131K contextiPhone & iPad · Mac [View details →](/models/deepseek-r1-distill-llama-8b-abliterated) ![DeepSeek logo](/model-logos/deepseek.svg) ### DeepSeek R1 Distill Qwen 14B 14.8B reasoning 131K contextiPhone & iPad · Mac [View details →](/models/deepseek-r1-distill-qwen-14b) ![DeepSeek logo](/model-logos/deepseek.svg) ### DeepSeek R1 Distill Qwen 32B Abliterated 32.8B uncensoredreasoning 131K contextMac [View details →](/models/deepseek-r1-distill-qwen-32b-abliterated) ![DeepSeek logo](/model-logos/deepseek.svg) ### DeepSeek R1 Distill Qwen 7B 7.6B reasoning 131K contextiPhone & iPad · Mac [View details →](/models/deepseek-r1-distill-qwen-7b) ![DeepSeek logo](/model-logos/deepseek.svg) ### Fuse O1 DeepSeek R1 QwQ SkyT1 32B 32.8B reasoning 131K contextMac [View details →](/models/fuseo1-deepseekr1-qwq-skyt1-32b-preview) ## Frequently asked questions - Can I run DeepSeek R1 Distill Llama 70B on iPhone? DeepSeek R1 Distill Llama 70B is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline. - Can I run DeepSeek R1 Distill Llama 70B on Mac? Yes. DeepSeek R1 Distill Llama 70B 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), fully on-device in Private LLM. - Does DeepSeek R1 Distill Llama 70B work offline? Yes. Once downloaded in Private LLM, DeepSeek R1 Distill Llama 70B runs 100% on-device — no internet connection, and nothing is sent to any server. - Is DeepSeek R1 Distill Llama 70B free to use? 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 Llama 70B 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 Llama 70B 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](/en/faq#Why-can-t-Private-LLM-load-models-directly-from-Hugging-Face). ### More from Numen [![Slop or Not app icon](/app-icons/slop-or-not.png) #### Slop or Not Catch AI-written text on iPhone and Mac. The check runs on-device, so nothing you paste gets uploaded. ](https://slopornot.ai)[![Clean Links app icon](/app-icons/clean-links.png) #### Clean Links Strip trackers and clutter from any link before you share it. The cleanup happens on your device. ](https://cleanlinks.app) Specifications and summary come from DeepSeek R1 Distill Llama 70B's [Hugging Face model card](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B), released under the MIT license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.