Run Qwen3 4B Instruct 2507 Abliterated on iPhone, iPad & Mac
Uncensored abliteration of Qwen3 4B for unrestricted research
Qwen3 4B Instruct 2507 Abliterated runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 4B
- Context window
- 262K tokens
- License
- Apache 2.0
- Quantization
- GPTQ-Int4
- Family
- Qwen3 4B
What Qwen3 4B Instruct 2507 Abliterated is good at
Abliteration was used to strip refusal mechanisms from the base Qwen3 4B model, resulting in a 4-billion-parameter instruct version that freely responds to sensitive or restricted topics. It handles a context of up to 262,144 tokens and is offered as an experimental, unfiltered tool for research or controlled testing.
Which of your devices can run it
iPhone
iPad
Mac
How to run Qwen3 4B Instruct 2507 Abliterated in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose Qwen3 4B Instruct 2507 Abliterated.
- Download the model once, then chat fully offline.
Variants & related models
Josiefied Qwen3 4B Instruct 2507
Uncensored model in the Qwen3 4B family
Qwen3 4B Instruct 2507
General assistant with 262K context, improved reasoning, and creative writing
Qwen3 4B Instruct 2507 Heretic
Uncensored Qwen3 4B with 262K context and sharply reduced refusals
Qwen3 4B Instruct 2507 Heretic NoSlop
Uncensored Qwen3 4B abliteration that reduces refusals across 262K tokens
Amoral Gemma 3 1B v2
Uncensored Gemma 3 1B finetune for neutral factual responses
DeepSeek R1 Distill Llama 8B Abliterated
Uncensored DeepSeek R1 Distill 8B via refusal abliteration
Frequently asked questions
Yes. Qwen3 4B Instruct 2507 Abliterated 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. Qwen3 4B Instruct 2507 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), 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, Qwen3 4B Instruct 2507 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 Qwen3 4B Instruct 2507 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 Qwen3 4B Instruct 2507 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 Qwen3 4B Instruct 2507 Abliterated's Hugging Face model card, released under the Apache 2.0 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.