[Models](/models) / [Qwen 2.5](/models?family=Qwen%202.5#models-gallery) / OpenHands LM 7B v0.1 ![Qwen logo](/model-logos/qwen.svg) # Run OpenHands LM 7B v0.1 on iPhone & iPad OpenHands LM 7B v0.1 runs 100% private on iPhone & iPad inside Private LLM — no internet connection required, no data sent to any server. 7.6BiPhoneiPad ## Download the quantized weights These are the exact GPTQ-Int4 weights Private LLM runs for OpenHands LM 7B v0.1, 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/openhands-lm-7b-v0.1-GPTQ-Int4) ## Specifications Parameters 7.6B Context window 33K tokens License MIT Quantization GPTQ-Int4 Family Qwen 2.5 ## What OpenHands LM 7B v0.1 is good at [coding](/models/coding) OpenHands LM is a 7 billion parameter open source coding model designed to help with software development tasks. It is fine-tuned using data from the OpenHands agent to solve GitHub issues and can run locally on consumer hardware. The model is good at resolving software engineering problems but may be less reliable on other coding tasks. ## 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 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) Browse every model that fits [iPhone](/models/best-for-iphone) or [Mac](/models/best-for-mac). ## How to run OpenHands LM 7B v0.1 in Private LLM 1. Download Private LLM from the App Store. 2. Open the in-app model library and choose OpenHands LM 7B v0.1. 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) ### Dolphin 3.0 Qwen 2.5 0.5B 0.5B uncensored 33K contextiPhone & iPad · Mac [View details →](/models/dolphin3.0-qwen2.5-0.5b) ![Qwen logo](/model-logos/qwen.svg) ### Dolphin 3.0 Qwen 2.5 1.5B 1.5B uncensored 131K contextiPhone & iPad · Mac [View details →](/models/dolphin3.0-qwen2.5-1.5b) ![Qwen logo](/model-logos/qwen.svg) ### Dolphin 3.0 Qwen 2.5 3B 3.1B uncensored 33K contextiPhone & iPad · Mac [View details →](/models/dolphin3.0-qwen2.5-3b) ![Qwen logo](/model-logos/qwen.svg) ### EVA D Qwen2.5 1.5B v0.0 1.8B creative 131K contextiPhone & iPad · Mac [View details →](/models/eva-d-qwen2.5-1.5b-v0.0) ![Qwen logo](/model-logos/qwen.svg) ### EVA Qwen2.5 7B v0.1 7.6B creative 131K contextiPhone & iPad · Mac [View details →](/models/eva-qwen2.5-7b-v0.1) ![Qwen logo](/model-logos/qwen.svg) ### FuseChat Qwen 2.5 7B Instruct 7.6B general 33K contextiPhone & iPad · Mac [View details →](/models/fusechat-qwen-2.5-7b-instruct) ## Frequently asked questions - Can I run OpenHands LM 7B v0.1 on iPhone? Yes. OpenHands LM 7B v0.1 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, fully on-device in Private LLM — no internet connection required. - Can I run OpenHands LM 7B v0.1 on Mac? OpenHands LM 7B v0.1 runs on iPhone and iPad in Private LLM; a Mac is not required. - Does OpenHands LM 7B v0.1 work offline? Yes. Once downloaded in Private LLM, OpenHands LM 7B v0.1 runs 100% on-device — no internet connection, and nothing is sent to any server. - Is OpenHands LM 7B v0.1 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 OpenHands LM 7B v0.1 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 OpenHands LM 7B v0.1 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 OpenHands LM 7B v0.1's [Hugging Face model card](https://huggingface.co/all-hands/openhands-lm-7b-v0.1), released under the MIT 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.