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| Model | Size | Use Case | Architecture |
|---|---|---|---|
| zoo-nano | 0.6B | Edge AI, Mobile, IoT | Qwen3 |
| zoo-agent | 4B | Tool Use, Function Calling | Fine-tuned ECO |
| zoo-eco | 4B | Efficient Inference | Qwen3 |
| zoo-next | 80B | Advanced Reasoning | Qwen3-Next |
| zoo-omni | 30B | Vision/Audio/Text/3D | Multimodal |
| zoo-designer | 235B/22B | Visual Design, UI/UX | Qwen3-VL MoE |
| zoo-coder | 480B | Code Generation | MoE |
| zoo-scribe | 2B | Speech Recognition | Qwen3-ASR |
| zoo-artist | 8B | Image Gen & Edit | Qwen3-Image |
| zoo-director | 5B | Video Generation | Wan2.2→2.5 |
| zoo-3d | 12B | 3D Model Generation | 3D-specialized |
| zoo-musician | 6B | Music Composition | Audio Gen |
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("zooai/zoo-nano-0.6b")
4tokenizer = AutoTokenizer.from_pretrained("zooai/zoo-nano-0.6b")