vision-sft SKILL.md skillA
vision-sft from wshobson/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wshobson/agents/vision-sft@git:20260714.baa5bd7Pins git:20260714.baa5bd7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wshobson/agents
- Path
plugins/llm-finetuning/skills/vision-sft/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260714.baa5bd7, committed Jul 14, 2026
- Size
- 7,872 bytes
- Repository stars
- 42,320
- License
- MIT
Fine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring frozen-vision-tower LoRA, or debugging a VLM fine-tune that trains without learning.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 and a VLM base model already picked from the model catalog. **Output format:** a validated adapter config — which components are frozen, LoRA target modules, and a `min_pixels`/`max_pixels` budget — that `llm-finetuning-training-engineer` consumes directly when it generates a runnable script. ## Quick Reference | Situation | Default | |---|---| | Adapting behavior on familiar images | Frozen tower+projector, LoRA r=8–16, α=16–32 | | Visual domain shift | Unfreeze last-6 ViT layers, vision LR 5–10x lower | | Doesn't fit in bf16 at target rank | QLoRA — frozen vision tower only | | `fast_inference=True` | `finetune_vision_layers=False` | …
Read the whole file at its exact version.
How to install
mdr add wshobson/agents/vision-sft@sha256:376e4bc7fa04d037The line at the top of this page pins the label git:20260714.baa5bd7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_mkjap5ucpvxnuqwh)
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Versions
The registry has recorded 1 version of this file, committed on Jul 14, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7872 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
wshobson/agents · 42,320 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mkjap5ucpvxnuqwh GET https://markdownregistry.com/api/v1/resolve?ref=wshobson/agents/vision-sft GET https://markdownregistry.com/api/v1/blob/376e4bc7fa04d037025ef7c83fc994b5aedfdee96c76f3a1c3e5da0379e3f706
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.