tao-finetune-huggingface-model SKILL.md skillA
tao-finetune-huggingface-model from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-tao/tao-skill-bank/tao-finetune-huggingface-model@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-tao/tao-skill-bank
- Path
skills/applications/tao-finetune-huggingface-model/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.0, committed Aug 27, 2026
- First version recorded
- Jun 22, 2026
- Size
- 19,697 bytes
- Repository stars
- 95
- License
- Apache-2.0
Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pipeline, smoke-test a HuggingFace model locally before scale-up, push a fine-tuned model to the HF Hub with a model card, or emit a self-contained rerun skill for an existing HuggingFace finetune.…
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
<!-- Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. Licensed under the Apache License, Version 2.0; see http://www.apache.org/licenses/LICENSE-2.0 --> # tao-finetune-huggingface-model > **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery). Local NVIDIA GPU fine-tuning for HuggingFace models, grounded in live-fetched documentation with curated references as a fallback safety net. One NGC container, a few focused scripts, one push to HF Hub. Follow the rules in this file; don't improvise. ## Dedicated-model routing gate Before Step 1 or any probe, image selection, package install, venv creation, or training-code generation, resolve `model_id` against the packaged model-owner registry. Use the absolute skill-bank root from which this file was loaded: ```bash python <bank-root>/scripts/resolve_tao_model.py \ --skill-bank <bank-root> \ --model "$MODEL_ID" \ --format json ``` The resolver matches model metadata, including `huggingface_model_ids`, `network_arch`, skill names, and legacy aliases. Routing is internal: a model ID …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-finetune-huggingface-model@sha256:cb23a5ebfad47c72The line at the top of this page pins the label v0.1.0, 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_7pa7hn3jhduyh46q)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 22, 2026 and Aug 27, 2026, about one every 16 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-08-27 | bdf8982 | 19,697 B | A | view · diff |
| v0.1.0 | 2026-08-11 | 115ac6d | 20,002 B | A | view · diff |
| v0.1.0 | 2026-08-05 | ae5e99c | 20,031 B | A | view · diff |
| v0.1.0 | 2026-08-03 | 03f2daa | 19,909 B | A | view · diff |
| v0.1.0 | 2026-06-22 | 91f8bce | 17,991 B | A | view |
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 (19697 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
nvidia-tao/tao-skill-bank · 95 stars · license Apache-2.0 · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7pa7hn3jhduyh46q GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-finetune-huggingface-model GET https://markdownregistry.com/api/v1/blob/cb23a5ebfad47c728f43df91dd0a798e23b4e7fecd1145755022a54b45e30baa
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.