vision-sft
by community
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Description
# Vision-Language SFT This skill assumes `finetuning-method-selection` already routed here: the data shape is image+text demonstrations, not preference pairs or a verifiable reward signal, and the base is a vision-language model rather than a text-only one. `lora-qlora-recipes` covers the text-only LoRA/QLoRA recipe this skill specializes for the vision tower and projector; read that skill first if the LoRA fundamentals (rank, alpha, target modules) aren't already familiar. **Input:** an image+text dataset
Install vision-sft
Run this in your OpenClaw agent to add vision-sft from the ClawHub registry.
openclaw skills install vision-sftRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
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Frequently asked questions
Is vision-sft safe to install?
vision-sft has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does vision-sft cost?
vision-sft is free to install for OpenClaw via ClawHub.
What are the best alternatives to vision-sft?
You can compare vision-sft side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install vision-sft?
Install vision-sft from ClawHub at clawhub.ai/skills/vision-sft, or use the install action on this page to copy the command for your OpenClaw agent.
Community Signal
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