初始化项目，由ModelHub XC社区提供模型

Model: stalkiq/stalkiq-ios-app-generator
Source: Original Platform

README.md

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+---
+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.