docs: update and optimize README and project documentation system
- Update README.md with improved formatting, logo, badges, and comprehensive documentation - Add README.en.md with English translation of the documentation - Include detailed quick start guide, CLI reference, and supported models table - Add changelog information highlighting recent features - Add script directory and adjust script file locations
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# Supported Models
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aha supports a growing collection of state-of-the-art AI models across multiple domains.
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## Text Generation
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| Model | Parameters | Description | Use Case |
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|-------|-----------|-------------|----------|
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| **Qwen2.5-7B** | 7B | General-purpose LLM | Chat, reasoning, code |
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| **Qwen3** | Various | Latest generation | Advanced reasoning |
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| **MiniCPM4** | 4B | Efficient lightweight | Edge deployment |
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## Vision & Multimodal
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| Model | Type | Description | Resolution |
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|-------|------|-------------|------------|
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| **Qwen2.5-VL** | Vision-Language | Image understanding | Up to 1024x1024 |
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| **Qwen3-VL** | Vision-Language | Enhanced multimodal | Up to 1536x1536 |
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| **MiniCPM-V** | Vision-Language | Lightweight vision | Up to 768x768 |
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## Speech Recognition (ASR)
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| Model | Language | Real-time | Speed |
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|-------|----------|-----------|-------|
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| **FunASR-Nano** | Chinese/English | Yes | 16x realtime |
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| **GLM-ASR-Nano** | Chinese/English | Yes | 32x realtime |
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## OCR
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| Model | Languages | Type | Strength |
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|-------|-----------|------|----------|
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| **PaddleOCR-VL** | 80+ | Lightweight | General documents |
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| **Hunyuan-OCR** | Chinese | Deep learning | Complex layouts |
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| **DeepSeek-OCR** | Multi | Scene text | Natural images |
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## Audio Processing
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| Model | Type | Description |
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|-------|------|-------------|
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| **VoxCPM** | Voice Codec | Neural audio codec |
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| **RMBG-2.0** | Background Removal | Voice isolation |
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## Model Formats
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All models are served in optimized ONNX format for:
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- **Cross-platform compatibility** - Windows, macOS, Linux
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- **CPU acceleration** - AVX2, NEON, SIMD
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- **Edge deployment** - No GPU required
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- **Fast inference** - Optimized runtime
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## Model Selection
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aha automatically selects the best model for each task. To override:
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```bash
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aha chat "Hello" --model qwen2.5-7b
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aha vision --model qwen2.5-vl "Describe this" --image img.jpg
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aha asr --model fun-asr-nano audio.wav
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```
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## Model Sources
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Models are sourced from:
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- [Hugging Face](https://huggingface.co) - Primary model hub
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- [ModelScope](https://modelscope.cn) - Chinese model hub
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- [GitHub Releases](https://github.com) - Backup releases
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## Adding New Models
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See [Development Guide](./development.md) for instructions on adding new model integrations.
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## Model Updates
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Models are regularly updated. Check the [releases](https://github.com/yourusername/aha/releases) for the latest versions.
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## License
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Each model has its own license. Please review the model's license before use in production.
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## Performance Benchmarks
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Approximate inference speeds on CPU (M1 Pro):
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| Model | Task | Tokens/sec |
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|-------|------|------------|
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| Qwen2.5-7B | Text | 25-35 |
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| Qwen2.5-VL | Vision | 20-30 |
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| FunASR-Nano | ASR | 200-500x |
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*Benchmarks vary by hardware and input size.*
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