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aha/docs/supported-models.md
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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
MiniCPM4-0.5B 0.5B Efficient lightweight Edge deployment Apache 2.0

Embedding

Model Parameters Description License
Qwen3-Embedding-0.6B 0.6B Text embedding (safetensors / gguf / onnx) Apache 2.0
Qwen3-Embedding-4B 4B Text embedding (safetensors / gguf / onnx) Apache 2.0
Qwen3-Embedding-8B 8B Text embedding (safetensors / gguf / onnx) Apache 2.0
all-MiniLM-L6-v2 22M Sentence-transformers embedding (safetensors / gguf / onnx) Apache 2.0

Reranker

Model Parameters Description License
Qwen3-Reranker-0.6B 0.6B Text reranking (embedding-similarity baseline, safetensors / gguf / onnx) Apache 2.0
Qwen3-Reranker-4B 4B Text reranking (embedding-similarity baseline, safetensors / gguf / onnx) Apache 2.0
Qwen3-Reranker-8B 8B Text reranking (embedding-similarity baseline, safetensors / gguf / onnx) Apache 2.0

Vision & Multimodal

Model Parameters Description License
Qwen2.5-VL-3B 3B Image understanding Qwen Research License
Qwen2.5-VL-7B 7B Image understanding Apache 2.0
Qwen3-VL-2B 2B Enhanced multimodal Apache 2.0
Qwen3-VL-4B 4B Enhanced multimodal Apache 2.0
Qwen3-VL-8B 8B Enhanced multimodal Apache 2.0
Qwen3-VL-32B 32B Enhanced multimodal Apache 2.0
Qwen3.5-0.8B 0.8B Native Multimodal (safetensors / gguf / onnx-text+image, video/audio rejected) Apache 2.0
Qwen3.5-2B 2B Native Multimodal (safetensors / gguf / onnx-text+image, video/audio rejected) Apache 2.0
Qwen3.5-4B 4B Native Multimodal (safetensors / gguf / onnx-text+image, video/audio rejected) Apache 2.0
Qwen3.5-9B 9B Native Multimodal (safetensors / gguf / onnx-text+image, video/audio rejected) Apache 2.0
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

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
PaddleOCR-VL1.5 Multi Lightweight General documents Apache 2.0
Hunyuan-OCR Chinese Deep learning Complex layouts Tencent Hunyuan Community License
DeepSeek-OCR Multi Scene text Natural images MIT
GLM-OCR 8 Scene text complex document MIT

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
Qwen3-ASR-0.6B 0.6B Chinese/English Yes Fast Apache 2.0
Qwen3-ASR-1.7B 1.7B Chinese/English Yes Fast Apache 2.0

Audio Generation

Model Parameters Type Description License
VoxCPM-0.5B 0.5B Voice Codec Neural audio codec Apache 2.0
VoxCPM1.5 - Voice Codec Enhanced voice generation Apache 2.0

Image Processing

Model Type Description License
RMBG-2.0 Background Removal Remove image backgrounds CC BY-NC 4.0

Model Sources

Models are sourced from:

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 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.