[Models](/models) / [Llama 3 70B](/models?family=Llama%203%2070B#models-gallery) / Smaug Llama 3 70B Instruct Abliterated v3 ![Meta logo](/model-logos/meta.svg) # Run Smaug Llama 3 70B Instruct Abliterated v3 on Mac Smaug Llama 3 70B Instruct Abliterated v3 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 Smaug Llama 3 70B Instruct Abliterated v3, 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/Smaug-Llama-3-70B-Instruct-abliterated-v3-w3a16g40sym) - [Mac — 4-bit OmniQuant →](https://huggingface.co/numen-tech/Smaug-Llama-3-70B-Instruct-abliterated-v3-w4a16g128asym) ## Specifications Parameters 70.6B Context window 8K tokens License Llama 3 Quantization OmniQuant 3-bit, OmniQuant 4-bit Family Llama 3 70B ## What Smaug Llama 3 70B Instruct Abliterated v3 is good at [uncensored](/models/uncensored) Smaug Llama 3 70B Instruct abliterated v3 is a modified version of an existing large language model. It has been altered to reduce its tendency to refuse or censor user requests, making it more compliant. The model is otherwise unchanged from the original and is good for tasks where you want fewer safety-related rejections. ## 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 Smaug Llama 3 70B Instruct Abliterated v3 in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose Smaug Llama 3 70B Instruct Abliterated v3. 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 ![Meta logo](/model-logos/meta.svg) ### Cat Llama 3 70B Instruct 70.6B general 8K contextMac [View details →](/models/cat-llama-3-70b-instruct) ![Meta logo](/model-logos/meta.svg) ### Meta Llama 3 70B Instruct 70.6B general Mac [View details →](/models/meta-llama-3-70b) ![Meta logo](/model-logos/meta.svg) ### Smaug Llama 3 70B Instruct 70.6B general 8K contextMac [View details →](/models/smaug-llama-3-70b-instruct) ![Google Gemma logo](/model-logos/gemma.svg) ### Amoral Gemma 3 1B v2 1B uncensored 33K contextiPhone & iPad · Mac [View details →](/models/amoral-gemma3-1b-v2) ![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 32B Abliterated 32.8B uncensoredreasoning 131K contextMac [View details →](/models/deepseek-r1-distill-qwen-32b-abliterated) ## Frequently asked questions - Can I run Smaug Llama 3 70B Instruct Abliterated v3 on iPhone? Smaug Llama 3 70B Instruct Abliterated v3 is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline. - Can I run Smaug Llama 3 70B Instruct Abliterated v3 on Mac? Yes. Smaug Llama 3 70B Instruct Abliterated v3 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 Smaug Llama 3 70B Instruct Abliterated v3 work offline? Yes. Once downloaded in Private LLM, Smaug Llama 3 70B Instruct Abliterated v3 runs 100% on-device — no internet connection, and nothing is sent to any server. - Is Smaug Llama 3 70B Instruct Abliterated v3 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 Smaug Llama 3 70B Instruct Abliterated v3 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 Smaug Llama 3 70B Instruct Abliterated v3 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 Smaug Llama 3 70B Instruct Abliterated v3's [Hugging Face model card](https://huggingface.co/failspy/Smaug-Llama-3-70B-Instruct-abliterated-v3), 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.