Model: stalkiq/stalkiq-ios-app-generator Source: Original Platform
license, language, base_model, tags, pipeline_tag
| license | language | base_model | tags | pipeline_tag | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
|
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)
# 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)
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
# 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 — AI-powered web and mobile applications.
Description
Languages
Jinja
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