---

license: apache-2.0

base_model: Qwen/Qwen3.5-9B

library_name: transformers

pipeline_tag: image-text-to-text

language:

• en
• zh

tags:

• zen5
• zen5-nano
• zen5-nano-9B
• zenlm
• hanzo
• qwen3_5
• multimodal
• vision-language
• edge

---

Zen5 Nano 9B

Edge / on-device tier of the Zen5 family. Multimodal dense vision-language model (image + text in -> text out) at the 9B scale, qwen3_5 architecture, tuned for fast inference on laptops, phones, and consumer GPUs.

Repackaged from Qwen/Qwen3.5-9B (apache-2.0, Alibaba Qwen). Native HuggingFace safetensors (Qwen3_5ForConditionalGeneration), re-hosted under the Zen5 nano line. Not trained from scratch — a permissively-licensed redistribution for the OSS-clean Zen model line.

Zen5 nano ladder — pick by hardware budget:

| SKU | Params | Base | Fit |

|---|---|---|---|

| zen5-nano-0.8B | 0.8B | Qwen3.5-0.8B | Raspberry Pi 5 / phone CPU / browser WASM |

| zen5-nano-2B | 2B | Qwen3.5-2B | low-end iGPU / 8 GB RAM laptop |

| zen5-nano-4B | 4B | Qwen3.5-4B | 16 GB RAM laptop / mobile NPU |

| zen5-nano-9B | 9B | Qwen3.5-9B | 24 GB+ unified RAM / consumer GPU |

The larger Zen5 tiers (zen5-flash, zen5, zen5-pro, zen5-max, zen5-coder) cover everything from agentic-default to frontier-quality multi-GPU.

Files

Native HuggingFace safetensors. Load with transformers following the upstream Qwen/Qwen3.5-9B recipe, or fetch directly:

hf download zenlm/zen5-nano-9B-gguf --local-dir zen5-nano-9B-gguf

Run

Hosted via the Hanzo gateway (api.hanzo.ai) as zen5-nano-9B.

License

apache-2.0. Upstream: Qwen/Qwen3.5-9B by Alibaba Qwen. This repository redistributes the weights under the same license.