Taichu-AI/ZDTaichu5.0-9B
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English | 简体中文 Blog | ModelScope | Hugging Face ZDTaichu5.0-9B is a multimodal foundation model for general visual understanding, spatial reasoning, agentic tool use, and embodied-AI research. It combines a Qwen3.5-9B language backbone with a C-RADIOv4-H vision encoder, supports text, images and videos with any-resolution visual input. Within the 10B-scale general-purpose VLMs compared in this release blog, ZDTaichu5.0-9B retains first-tier general visual understanding while supporting spatial reasoning, high-level embodied VLM reasoning, and agent tasks under the reported evaluation settings. Rather than trading broad visual competence for specialization, it layers a more comprehensive spatial, embodied, and agent capability profile on top of a strong general-vision foundation. The model accepts text, one or more images, and video. It is designed for: More demos and showcases are provided at Blog. The two figures compare ZDTaichu5.0-9B with open and closed models across general visual understanding, spatial and embodied capabilities, and agent and text capabilities.…
Read the full README ↗ · Preview checked 2026-09-20T06:43:41.664Z
Inside the original README — Document outline
- ZDTaichu5.0-9B
- Model Downloads
- Introduction
- Highlights
- Benchmark Results
- Spatial and embodied reasoning
- General visual understanding
- Language, reasoning, and agents
- Quickstart
- Installation
- Offline inference
- Online Serving
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Repository facts
- Owner
- Taichu-AI
- Primary language
- Python
- Stars
- 915
- Forks
- 191
- Open issues + pull requests
- 2
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2026-09-04T03:06:00.000Z
- Last push
- 2026-09-17T06:47:25.000Z
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