OpenHands LM 32B v0.1
Autonomous software issue resolution based on Qwen 2.5 32B
33K contextMac
Local Coding Models for iPhone, iPad & Mac
Code-focused open-source models you can run entirely on your Apple device inside Private LLM — completions, refactors, and explanations with no internet connection and nothing sent to a server.
11 models
Qwen 2.5 Coder 32B
Coding specialist trained on 5.5T tokens, with 32k context for large files
33K contextMac
Qwen 2.5 Coder 14B
Coding, reasoning, and fixing across languages from the Qwen 2.5 14B family
33K contextiPhone & iPad · Mac
WhiteRabbitNeo 13B v1
Cybersecurity specialist for shell commands and attack scripts on CodeLlama 13B
16K contextMac
Llama 3 WhiteRabbitNeo 8B v2.0
Vulnerability explanation and security code generation specialist on Llama 3 8B
8K contextiPhone & iPad · Mac
OpenHands LM 7B v0.1
Solves GitHub issues and refactors code, built on Qwen 2.5
33K contextiPhone & iPad
Qwen 2.5 Coder 7B
Code generation and refactoring instruction-tuned on Qwen 2.5 with 32K context
33K contextiPhone & iPad · Mac
CodeNinja 1.0 OpenChat 7B
Code completion and refactoring specialist built on OpenChat 3.5
8K contextiPhone & iPad · Mac
Qwen 2.5 Coder 3B
Coding assistant handling generation, reasoning, and fixes across long files
33K contextiPhone & iPad · Mac
Qwen 2.5 Coder 1.5B
Code completion, refactoring, and explanation expert from Qwen 2.5
33K contextiPhone & iPad · Mac
Qwen 2.5 Coder 0.5B Unquantized
Code generation, reasoning, and repair via Qwen 2.5 with 32K context
33K contextiPhone & iPad · Mac
Frequently asked questions
Private LLM runs coding models on iPhone, iPad & Mac, fully on-device. Larger models like OpenHands LM 32B v0.1, Qwen 2.5 Coder 32B, Qwen 2.5 Coder 14B need more memory, so the right pick depends on your device's RAM.
Yes. Every model on this page runs entirely on your Apple device inside Private LLM — no cloud, no logging, and nothing sent off-device.
Only to download a model once. After that it runs fully offline in Private LLM.