# Supported Models

aha supports a growing collection of state-of-the-art AI models across multiple domains.

## Language Model

| Model | Parameters | Description | Use Case | License |
|-------|-----------|-------------|----------|---------|
| **Qwen3-0.6B** | 0.6B | Latest generation (safetensors / gguf / onnx) | Advanced reasoning | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **MiniCPM4-0.5B** | 0.5B | Efficient lightweight | Edge deployment | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |

## Embedding

| Model | Parameters | Description | License |
|-------|-----------|-------------|---------|
| **Qwen3-Embedding-0.6B** | 0.6B | Text embedding (safetensors / gguf / onnx) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3-Embedding-4B** | 4B | Text embedding (safetensors / gguf / onnx) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3-Embedding-8B** | 8B | Text embedding (safetensors / gguf / onnx) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **all-MiniLM-L6-v2** | 22M | Sentence-transformers embedding (safetensors / gguf / onnx) | [Apache 2.0](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/blob/main/LICENSE) |

## Reranker

| Model | Parameters | Description | License |
|-------|-----------|-------------|---------|
| **Qwen3-Reranker-0.6B** | 0.6B | Text reranking (embedding-similarity baseline, safetensors / gguf / onnx) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3-Reranker-4B** | 4B | Text reranking (embedding-similarity baseline, safetensors / gguf / onnx) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3-Reranker-8B** | 8B | Text reranking (embedding-similarity baseline, safetensors / gguf / onnx) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |

## Vision & Multimodal

| Model | Parameters | Description | License |
|-------|-----------|-------------|---------|
| **Qwen2.5-VL-3B** | 3B | Image understanding | [Qwen Research License](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE) |
| **Qwen2.5-VL-7B** | 7B | Image understanding | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3-VL-2B** | 2B | Enhanced multimodal | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3-VL-4B** | 4B | Enhanced multimodal | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3-VL-8B** | 8B | Enhanced multimodal | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3-VL-32B** | 32B | Enhanced multimodal | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3.5-0.8B** | 0.8B | Native Multimodal (safetensors / gguf / onnx-text+image, video/audio rejected) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3.5-2B** | 2B | Native Multimodal (safetensors / gguf / onnx-text+image, video/audio rejected) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3.5-4B** | 4B | Native Multimodal (safetensors / gguf / onnx-text+image, video/audio rejected) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3.5-9B** | 9B | Native Multimodal (safetensors / gguf / onnx-text+image, video/audio rejected) | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2** | 9B | Distilled variant (Qwen3.5 family, safetensors / gguf / onnx-text+image, video/audio rejected) | [Model license on HF](https://huggingface.co/Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2) |

### Qwen3.5 GGUF Sources (Runtime Reused)

- Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF
- Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF
- unsloth/Qwen3.5-0.8B-GGUF
- unsloth/Qwen3.5-2B-GGUF
- unsloth/Qwen3.5-4B-GGUF
- lmstudio-community/Qwen3.5-0.8B-GGUF
- lmstudio-community/Qwen3.5-2B-GGUF
- lmstudio-community/Qwen3.5-4B-GGUF

## OCR

| Model | Languages | Type | Strength | License |
|-------|-----------|------|----------|---------|
| **PaddleOCR-VL** | Multi | Lightweight | General documents | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **PaddleOCR-VL1.5** | Multi | Lightweight | General documents | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Hunyuan-OCR** | Chinese | Deep learning | Complex layouts | [Tencent Hunyuan Community License](https://huggingface.co/tencent/HunyuanOCR/blob/main/LICENSE) |
| **DeepSeek-OCR** | Multi | Scene text | Natural images | [MIT](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md) |
| **GLM-OCR** | 8 | Scene text | complex document | [MIT](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md) |

GLM-OCR local artifacts: `safetensors`, `gguf`, `onnx`

## Speech Recognition (ASR)

| Model | Parameters | Language | Real-time | Speed | License |
|-------|-----------|----------|-----------|-------|---------|
| **Fun-ASR-Nano-2512** | 2G | Chinese/English | Yes | Fast | Not Specified |
| **GLM-ASR-Nano-2512** | 4.5G | Chinese/English | Yes | Fast | [MIT](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md) |
| **Qwen3-ASR-0.6B** | 0.6B | Chinese/English | Yes | Fast | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **Qwen3-ASR-1.7B** | 1.7B | Chinese/English | Yes | Fast | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |


## Audio Generation

| Model | Parameters | Type | Description | License |
|-------|-----------|------|-------------|---------|
| **VoxCPM-0.5B** | 0.5B | Voice Codec | Neural audio codec | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |
| **VoxCPM1.5** | - | Voice Codec | Enhanced voice generation | [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) |

## Image Processing

| Model | Type | Description | License |
|-------|------|-------------|---------|
| **RMBG-2.0** | Background Removal | Remove image backgrounds | [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/deed.en) |

## Model Sources

Models are sourced from:

- [Hugging Face](https://huggingface.co) - Primary model hub
- [ModelScope](https://modelscope.cn) - Chinese model hub

## Registered Repositories (Not Runtime-Integrated Yet)

The following repositories are now cataloged for future integration, but are **not** directly runnable in current `aha` runtime yet:

### MLX / Format-Specific Variants
- Jackrong/MLX-Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2-4bit
- Jackrong/MLX-Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-4bit
- Jackrong/MLX-Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-6bit
- Jackrong/MLX-Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-8bit
- Jackrong/MLX-Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2-4bit
- Jackrong/MLX-Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2-6bit
- Jackrong/MLX-Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2-8bit

### Embedding Models
- google/embeddinggemma-300m
- ggml-org/embeddinggemma-300M-GGUF
- onnx-community/embeddinggemma-300m-ONNX
- unsloth/embeddinggemma-300m-GGUF
- onnx-community/Qwen3-Embedding-0.6B-ONNX
- Qwen/Qwen3-Embedding-0.6B-GGUF
- onnx-community/Qwen3-Embedding-4B-ONNX
- Qwen/Qwen3-Embedding-4B-GGUF
- Qwen/Qwen3-Embedding-8B-GGUF
- onnx-community/Qwen3-Embedding-8B-ONNX
- perplexity-ai/pplx-embed-v1-0.6b
- nomic-ai/nomic-embed-text-v2-moe
- nomic-ai/nomic-embed-text-v2-moe-GGUF
- jinaai/jina-embeddings-v5-text-small
- jinaai/jina-embeddings-v5-text-nano
- jinaai/jina-embeddings-v5-text-small-text-matching
- jinaai/jina-embeddings-v5-text-small-text-matching-GGUF
- sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2

### Reranker Models
- BAAI/bge-reranker-v2-m3
- ggml-org/Qwen3-Reranker-0.6B-Q8_0-GGUF

### ONNX Repositories
- onnx-community/GLM-OCR-ONNX
- onnx-community/Qwen3-Reranker-0.6B-ONNX
- onnx-community/Qwen3.5-2B-ONNX
- onnx-community/Qwen3.5-4B-ONNX
- onnx-community/Qwen3.5-0.8B-ONNX
- onnx-community/Qwen3-VL-2B-Instruct-ONNX
- onnx-community/ONNX_Qwen3-Embedding-0.6B
- onnx-community/Nanbeige4.1-3B-ONNX
- onnx-community/Qwen3-Embedding-8B-ONNX
- onnx-community/Qwen3-Embedding-4B-ONNX
- onnx-community/bge-reranker-v2-m3-ONNX
- onnx-community/all-MiniLM-L6-v2-ONNX

## Adding New Models

See [Development Guide](./development.md) for instructions on adding new model integrations.

## License Compliance

**Important**: Each model has its own license. Please review the model's license before use in production. Some key considerations:

- **Apache 2.0**: Permissive, commercial-friendly
- **MIT**: Permissive, commercial-friendly
- **Qwen Research License**: Research use, may have restrictions
- **Tencent Hunyuan Community License**: Custom license, review terms
- **CC BY-NC 4.0**: Non-commercial only

Always verify license terms before deployment in production environments.

## Model Updates

Models updated from time to time. 

## Performance Benchmarks

Approximate inference speeds on CPU (M1 Pro):

| Model | Task | Tokens/sec |
|-------|------|------------|
| Qwen3-0.6B | Text | 40-50 |
| Qwen2.5-VL-3B | Vision | 20-30 |
| Qwen3-ASR-0.6B | ASR | 200-500x |
| VoxCPM-0.5B | TTS | Real-time |

*Benchmarks vary by hardware and input size.*