unsloth-vision
Unsloth-vision provides optimized support for fine-tuning multimodal models like Llama 3.2 Vision and Qwen2.5 VL. It allows granular control over which layers (vision, language, or both) are updated and includes specialized data collators to handle image padding.
npx skills add majiayu000/claude-skill-registry --skill unsloth-vision-cuba6112-skillfactory-9d235d7a --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
--- name: unsloth-vision description: Fine-tuning multimodal vision-language models (Llama 3.2 Vision, Qwen2.5 VL) using optimized vision layers (triggers: vision models, multimodal, Llama 3.2 Vision, Qwen2.5 VL, UnslothVisionDataCollator, finetune_vision_layers). --- ## Overview Unsloth-vision provides optimized support for fine-tuning multimodal models like Llama 3.2 Vision and Qwen2.5 VL. It allows granular control over which layers (vision, language, or both) are updated and includes specialized data collators to handle image padding. ## When to Use - When adapting models for specialized visual tasks like medical imaging or OCR-to-code. - When fine-tuning Llama 3.2 Vision models on consumer hardware. - When needing to train specifically on assistant responses in a multimodal context. ## Decision Tree 1. Do you need to update visual feature extraction? - Yes: Set `finetune_vision_layers = True` in `get_peft_model`. 2. Are your images varying in size? - Yes: Standardize to 300-1000px and use `UnslothVisionDataCollator`. 3. Should the model ignore system/user prompts during loss calculation? - Yes: Use `train_on_responses_only = True` in the collator. ## Workflows 1. **Vision Mode
- Overview
- When to Use
- Decision Tree
- Workflows
- Non-Obvious Insights
- Evidence
- Scripts
- Dependencies
- References
What does the unsloth-vision skill do?
Unsloth-vision provides optimized support for fine-tuning multimodal models like Llama 3.2 Vision and Qwen2.5 VL. It allows granular control over which layers (vision, language, or both) are updated and includes specialized data collators to handle image padding.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill unsloth-vision-cuba6112-skillfactory-9d235d7a --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.