Run OpenHands LM 32B v0.1 on Mac
Autonomous software issue resolution based on Qwen 2.5 32B
OpenHands LM 32B v0.1 runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 32.8B
- Context window
- 33K tokens
- License
- MIT
- Quantization
- GPTQ-Int4
- Family
- Qwen 2.5 32B
What OpenHands LM 32B v0.1 is good at
OpenHands LM 32B v0.1 has 32 billion parameters, a 128K token context window for handling large codebases, and is built on Qwen Coder 2.5 Instruct 32B. It is fine-tuned using successful agent traces from the OpenHands software development agent to autonomously solve GitHub issues. The model focuses on software engineering tasks like issue resolution, achieving a 37.2% verified resolve rate on SWE-Bench Verified. It can run locally on hardware such as a single NVIDIA 3090 GPU.
Which of your devices can run it
Mac
How to run OpenHands LM 32B v0.1 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose OpenHands LM 32B v0.1.
- Download the model once, then chat fully offline.
Variants & related models
EVA Qwen2.5 32B v0.2
Roleplay and storywriting finetune of Qwen 2.5 32B with flexible tone control
Qwen 2.5 32B
General-purpose instruction model excelling at coding and mathematics
Qwen 2.5 Coder 32B
Coding specialist trained on 5.5T tokens, with 32k context for large files
CodeNinja 1.0 OpenChat 7B
Code completion and refactoring specialist built on OpenChat 3.5
Llama 3 WhiteRabbitNeo 8B v2.0
Vulnerability explanation and security code generation specialist on Llama 3 8B
OpenHands LM 7B v0.1
Solves GitHub issues and refactors code, built on Qwen 2.5
Frequently asked questions
OpenHands LM 32B v0.1 is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. OpenHands LM 32B v0.1 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), fully on-device in Private LLM.
Yes. Once downloaded in Private LLM, OpenHands LM 32B 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 32B 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 32B 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 32B 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.