Run OpenHands LM 7B v0.1 on iPhone & iPad
Solves GitHub issues and refactors code, built on Qwen 2.5
OpenHands LM 7B v0.1 runs 100% private on iPhone & iPad inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
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
Trained on examples of resolved GitHub issues, OpenHands LM 7B v0.1 is a 7.6 billion parameter coding model from the Qwen 2.5 family. It targets software engineering tasks such as solving repository issues, completing code, and refactoring, using a 32768 token context window to work across larger files. The model was fine-tuned with data generated by the OpenHands agent itself, applying an RL-based framework that learns from successful issue resolutions. This compact variant aims to bring local coding assistance to users with limited hardware while retaining the approach of the larger 32B version.
Which of your devices can run it
iPhone
iPad
How to run OpenHands LM 7B v0.1 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose OpenHands LM 7B v0.1.
- Download the model once, then chat fully offline.
Variants & related models
Dolphin 3.0 Qwen 2.5 0.5B
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EVA D Qwen2.5 1.5B v0.0
Roleplay-focused distillation of Qwen 2.5 with 131K context
EVA Qwen2.5 7B v0.1
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FuseChat Qwen 2.5 7B Instruct
General assistant merging knowledge from larger models into Qwen 2.5
Frequently asked questions
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.
OpenHands LM 7B v0.1 runs on iPhone and iPad in Private LLM; a Mac is not required.
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.
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, well before Apple Intelligence, LM Studio, Ollama, etc. 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.
Specifications and summary come from OpenHands LM 7B v0.1's Hugging Face model card, 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.