Model overview
☕ If this GGUF made your day easier, a coffee would make mine. Send a coffee ☕ I build and test these releases myself. Your coffee helps keep me going. Thank you for supporting this work. ZDTaichu5.0-9B is a multimodal foundation model for visual understanding, spatial reasoning, agentic tool use, and embodied-AI workloads. The upstream model combines a Qwen3.5-9B language backbone with the C-RADIOv4-H vision encoder and accepts text, one or more images, and video. The upstream card describes any-resolution visual input and up to 128K tokens of context; the GGUF metadata preserves the converted model context configuration, while practical context length depends on the runtime and available memory. This release is for llama.cpp. The language model is provided as quantized GGUF files and the visual encoder / projector is provided separately as `mmproj-ZDTaichu5.0-9B-BF16.gguf`. Use the same mmproj file with each language-model quant when passing images or video. The official upstream model card and Transformers/vLLM instructions are available here.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
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| Source / channel | Input | Output | Billing unit | Collected at |
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Estimate monthly base token costs
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Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。