stalkiq/stalkiq-ios-app-generator

TEXT GENERATIONConcurrency Cost:1Model Size:1.1BQuant:BF16Ctx Length:2kPublished:Apr 23, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

The stalkiq/stalkiq-ios-app-generator is a 1.1 billion parameter LlamaForCausalLM model, fine-tuned by StalkIQ, that generates complete SwiftUI iOS application codebases. Built on TinyLlama-1.1B-Chat-v1.0, it excels at transforming natural language app ideas into production-ready Xcode projects. This model is specifically optimized for creating iOS 16+ applications with an MVVM architecture and a dark gradient UI theme.

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StalkIQ iOS App Generator

This model, developed by StalkIQ, is a fine-tuned 1.1 billion parameter LlamaForCausalLM designed to generate full SwiftUI iOS application codebases from natural language descriptions. It leverages the TinyLlama-1.1B-Chat-v1.0 base model and was fine-tuned using QLoRA on StalkIQ's proprietary iOS app training data.

Key Capabilities

  • Comprehensive Code Generation: Produces complete Xcode projects, including project.yml (for XcodeGen), SwiftUI views, view models, and models.
  • Standard Project Assets: Generates essential files like Info.plist, LaunchScreen.storyboard, and Assets.xcassets.
  • Architectural Adherence: Implements an MVVM (Model-View-ViewModel) architecture for structured and maintainable code.
  • Modern UI/UX: Incorporates a dark gradient UI theme and targets iOS 16+ deployment.
  • Production-Ready Output: Aims to deliver codebases that are ready for immediate development and deployment.

Good For

  • Rapid Prototyping: Quickly generate a functional iOS app structure from a simple idea.
  • Developer Productivity: Automate the boilerplate code generation for new SwiftUI projects.
  • Learning & Experimentation: Explore different app ideas without manually setting up the entire project.
  • Specific Use Cases: Ideal for generating apps that identify objects from photos, such as the example of a "RecipeAI" app that identifies food.