[Models](/models) / [Qwen3 4B](/models?family=Qwen3%204B#models-gallery) / Qwen3 4B Instruct 2507 Heretic NoSlop ![Qwen logo](/model-logos/qwen.svg) # Run Qwen3 4B Instruct 2507 Heretic NoSlop on iPhone, iPad & Mac Qwen3 4B Instruct 2507 Heretic NoSlop runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server. 4BiPhoneiPadMac ## Download the quantized weights These are the exact GPTQ-Int4 weights Private LLM runs for Qwen3 4B Instruct 2507 Heretic NoSlop, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM. - [iPhone & iPad — GPTQ-Int4 →](https://huggingface.co/numen-tech/Qwen3-4B-Instruct-2507-heretic-noslop-GPTQ-Int4) - [Mac — GPTQ-Int4 →](https://huggingface.co/numen-tech/Qwen3-4B-Instruct-2507-heretic-noslop-GPTQ-Int4) ## Specifications Parameters 4B Context window 262K tokens License Apache 2.0 Quantization GPTQ-Int4 Family Qwen3 4B ## What Qwen3 4B Instruct 2507 Heretic NoSlop is good at [uncensored](/models/uncensored) Qwen3 4B Instruct 2507 is a language model that has been compressed to 4-bit precision for efficient use in the Private LLM app. It has been modified to reduce repetitive or low-quality text output. This version is designed for private, on-device use with improved response quality. ## Which of your devices can run it ### iPhone iPhone 17 Pro MaxiPhone 17 ProiPhone AiriPhone 17iPhone 16 Pro / 16 Pro MaxiPhone 16 / 16 PlusiPhone 16eiPhone 15 Pro / 15 Pro MaxiPhone 15 / 15 PlusiPhone 14 / 14 Plus / 14 Pro / 14 Pro MaxiPhone 13 Pro / 13 Pro MaxiPhone 12 Pro / 12 Pro Max ### iPad iPad Pro (M5, 16GB)iPad Pro (M5, 12GB)iPad Pro (M4, 16GB)iPad Pro (M4, 8GB)iPad Pro (M2, 16GB)iPad Pro (M2, 8GB)iPad Pro (M1, 16GB)iPad Pro (M1, 8GB)iPad Air (M4)iPad Air (M3)iPad Air (M2)iPad Air (M1)iPad mini (A17 Pro)iPad (A16) ### 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)MacBook Pro (M4 Max, 36GB)Mac (Apple Silicon, 32GB)MacBook Air (M4, 24GB)MacBook Air (M-series, 16GB) Browse every model that fits [iPhone](/models/best-for-iphone) or [Mac](/models/best-for-mac). ## How to run Qwen3 4B Instruct 2507 Heretic NoSlop in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose Qwen3 4B Instruct 2507 Heretic NoSlop. 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 ![Qwen logo](/model-logos/qwen.svg) ### Qwen3 4B Instruct 2507 Abliterated 4B uncensored 262K contextiPhone & iPad · Mac [View details →](/models/huihui-qwen3-4b-instruct-2507-abliterated) ![Qwen logo](/model-logos/qwen.svg) ### Josiefied Qwen3 4B Instruct 2507 4B uncensored iPhone & iPad · Mac [View details →](/models/josiefied-qwen3-4b-instruct-2507-gabliterated-v1) ![Qwen logo](/model-logos/qwen.svg) ### Qwen3 4B Instruct 2507 4B general 262K contextiPhone & iPad · Mac [View details →](/models/qwen3-4b-instruct-2507) ![Qwen logo](/model-logos/qwen.svg) ### Qwen3 4B Instruct 2507 Heretic 4B uncensored 262K contextiPhone & iPad · Mac [View details →](/models/qwen3-4b-instruct-2507-heretic) ![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) ## Frequently asked questions - Can I run Qwen3 4B Instruct 2507 Heretic NoSlop on iPhone? Yes. Qwen3 4B Instruct 2507 Heretic NoSlop 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. - Can I run Qwen3 4B Instruct 2507 Heretic NoSlop on Mac? Yes. Qwen3 4B Instruct 2507 Heretic NoSlop 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. - Does Qwen3 4B Instruct 2507 Heretic NoSlop work offline? Yes. Once downloaded in Private LLM, Qwen3 4B Instruct 2507 Heretic NoSlop runs 100% on-device — no internet connection, and nothing is sent to any server. - Is Qwen3 4B Instruct 2507 Heretic NoSlop 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 Qwen3 4B Instruct 2507 Heretic NoSlop 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 Qwen3 4B Instruct 2507 Heretic NoSlop 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 Qwen3 4B Instruct 2507 Heretic NoSlop's [Hugging Face model card](https://huggingface.co/numen-tech/Qwen3-4B-Instruct-2507-heretic-noslop-GPTQ-Int4), 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.