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zenlm/zen5-nano-9B-gguf
zen5-nano-9B-gguf is a image-text-to-text model from zenlm. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Edge / on-device tier of the Zen5 family. Multimodal dense vision-language model (image + text in - text out) at the 9B scale, qwen35 architecture, tuned for fast inference on laptops, phones, and consumer GPUs.
Downloads · 30 days
16
6% of all-time downloads
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.safetensors19.3 GB · 100%
How the weights are stored.
BF169.7B · 100%
From the Hugging Face model README
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.
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
Hosted via the Hanzo gateway (api.hanzo.ai) as zen5-nano-9B.
apache-2.0. Upstream: Qwen/Qwen3.5-9B by Alibaba Qwen. This repository redistributes the weights under the same license.