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Run Llama 3.3 70B Instruct Abliterated on Mac

Uncensored Llama 3.3 70B with abliterated refusal mechanisms

Llama 3.3 70B Instruct Abliterated runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.

70.6BMacuncensored

Specifications

Parameters
70.6B
Context window
131K tokens
License
Llama 3.3
Quantization
OmniQuant 3-bit, OmniQuant 4-bit
Family
Llama 3.3 70B

What Llama 3.3 70B Instruct Abliterated is good at

Llama 3.3 70B Instruct Abliterated is a 70.6 billion parameter language model created by applying abliteration to the Llama 3.3 70B Instruct, which removes its refusal mechanisms so it no longer declines sensitive or normally blocked requests. It handles unrestricted text generation across a 131072-token context window, freely responding to topics the original base model would reject.

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 or Mac.

How to run Llama 3.3 70B Instruct Abliterated in Private LLM

  1. Download Private LLM from the App Store.
  2. Open the in-app model library and choose Llama 3.3 70B Instruct Abliterated.
  3. Download the model once, then chat fully offline.
Download Private LLM on the App StoreJoin our Discord

Variants & related models

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EVA LLaMA 3.33 70B v0.1

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Roleplay and creative writing specialist based on Llama 3.3 70B

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Llama 3.3 70B Euryale v2.3

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Roleplay-optimized Llama 3.3 70B with flexible persona handling

131K contextMac
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Meta Llama 3.3 70B Instruct

70.6B

General-purpose model in the Llama 3.3 70B family

Mac
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1B

Uncensored Gemma 3 1B finetune for neutral factual responses

33K contextiPhone & iPad · Mac
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DeepSeek R1 Distill Llama 8B Abliterated

8B

Uncensored DeepSeek R1 Distill 8B via refusal abliteration

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DeepSeek R1 Distill Qwen 32B Abliterated

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Uncensored proof-of-concept removing alignment guardrails from DeepSeek R1 Distill

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Frequently asked questions

  • Llama 3.3 70B Instruct Abliterated is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.

  • Yes. Llama 3.3 70B Instruct Abliterated 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.

  • Yes. Once downloaded in Private LLM, Llama 3.3 70B Instruct Abliterated 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 Llama 3.3 70B Instruct Abliterated 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 Llama 3.3 70B Instruct Abliterated 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 Llama 3.3 70B Instruct Abliterated's Hugging Face model card, released under the Llama 3.3 license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.