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Deploy qwen3-v5clean Gradio application
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A newer version of the Gradio SDK is available: 6.22.0

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metadata
title: Copyleft Cultivars Qwen3 v5clean
emoji: 🌱
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: 5.33.0
app_file: app.py
pinned: false

Copyleft Cultivars Qwen3 v5clean Space

This Space is the serving wrapper for the current v5clean champion from the qwen3-finetune repository:

outputs/merged-model-p6-lr5e5-r2

The model weights are intentionally kept in a separate Hugging Face model repository. The Space loads that repository at startup using MODEL_ID and optionally pins an immutable MODEL_REVISION. The proposed repositories are:

Model: CopyleftCultivars/qwen3-v5clean
Space: CopyleftCultivars/qwen3-v5clean-space

Set MODEL_ID as a Space variable if the model repository uses a different name. Set MODEL_REVISION to the model commit SHA after the first upload so a Space restart cannot silently change the served model. An HF_TOKEN secret is only needed for a private model repository.

This is a research preview, not a safety-critical farming advisor. The model does not have live weather, soil sensors, or a verified local regulatory data source. Check rates, timing, local conditions, and legal requirements before acting on an answer.

The organization Space directory is available at https://huggingface.co/CopyleftCultivars/spaces.

Deployment steps are in DEPLOYMENT.md.