--- license: apache-2.0 language: - en base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 tags: - ios - swift - swiftui - xcode - code-generation - mobile-development pipeline_tag: text-generation --- # StalkIQ iOS App Generator A fine-tuned LLM that generates complete, production-ready SwiftUI iOS application codebases from natural language descriptions. ## What It Does Give it an app idea, get back a full Xcode project with: - `project.yml` (XcodeGen) - SwiftUI views, view models, models - `Info.plist`, `LaunchScreen.storyboard`, `Assets.xcassets` - MVVM architecture, dark gradient UI theme - iOS 16+ deployment target ## Usage ### With Ollama (Recommended) ```bash # Download and create the model echo 'FROM hf.co/stalkiq/stalkiq-ios-app-generator/stalkiq.gguf' > Modelfile ollama create stalkiq -f Modelfile # Generate an app ollama run stalkiq "Create an iOS app called RecipeAI that identifies food from photos using AI" ``` ### With Python (transformers) ```python from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("stalkiq/stalkiq-ios-app-generator") tokenizer = AutoTokenizer.from_pretrained("stalkiq/stalkiq-ios-app-generator") prompt = "### Instruction:\nCreate an iOS app called RecipeAI that identifies food from photos\n\n### Response:\n" inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate(**inputs, max_new_tokens=2048, temperature=0.7, do_sample=True) print(tokenizer.decode(outputs[0], skip_special_tokens=True)) ``` ### API ```bash # Via Ollama API (after creating the model) curl http://localhost:11434/api/generate -d '{ "model": "stalkiq", "prompt": "Create an iOS app called WeatherAI that shows forecasts from sky photos" }' ``` ## Prompt Format ``` ### Instruction: {your app description here} ### Response: ``` ## Model Details - **Base Model**: TinyLlama-1.1B-Chat-v1.0 - **Fine-tuning**: QLoRA on StalkIQ iOS app training data - **Architecture**: LlamaForCausalLM (1.1B parameters) - **Tensor Type**: FP16 - **Files**: safetensors (for transformers) + GGUF (for Ollama/llama.cpp) ## Built By [StalkIQ](https://stalkiq.dev) — AI-powered web and mobile applications.