model-fine-tuning SKILL.md skillA
model-fine-tuning from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jnpiyush/agentx/model-fine-tuning@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jnpiyush/agentx
- Path
.github/skills/ai-systems/model-fine-tuning/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Sep 15, 2026
- First version recorded
- Mar 1, 2026
- Size
- 10,326 bytes
- Repository stars
- 19
- License
- Apache-2.0
Fine-tune foundation models for domain-specific tasks. Use when adapting LLMs with LoRA/QLoRA/PEFT, full fine-tuning, knowledge distillation, or designing training data pipelines for model customization.
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
# Model Fine-Tuning > **Purpose**: Adapt pre-trained foundation models to domain-specific tasks through parameter-efficient and full fine-tuning techniques. --- ## When to Use This Skill - Adapting an LLM to follow domain-specific instructions or style - Improving model accuracy on specialized tasks (classification, extraction, generation) - Reducing inference cost by distilling a large model into a smaller one - Building training data pipelines for fine-tuning datasets - Choosing between fine-tuning approaches (LoRA, QLoRA, full, distillation) ## Prerequisites - Base model selection (open-source or API-based) - Training dataset (instruction pairs, labeled examples, or preference data) - GPU compute (local or cloud) ## Decision Tree ``` Need model customization? +- Task-specific behavior (format, style, domain)? | +- Small dataset (<1K examples)? | +- Use few-shot prompting first -> Good enough? -> Done | +- Not enough? -> LoRA fine-tuning (efficient, low data) | +- Medium dataset (1K-50K examples)? | +- Use LoRA or QLoRA -> Most cost-effective | +- Large dataset (50K+ examples)? | +- Full fine-tuning (if budget allows) …
Read the whole file at its exact version.
How to install
mdr add jnpiyush/agentx/model-fine-tuning@sha256:da24ac69e0849b28The line at the top of this page pins the label v1.0.0, 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_anz65eradifimbjp)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Mar 1, 2026 and Sep 15, 2026, about one every 99 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-15 | f17c505 | 10,326 B | A | view · diff |
| v1.0.0 | 2026-03-01 | 969f335 | 10,324 B | A | view · diff |
| v1.0.0 | 2026-03-01 | ac76f34 | 9,307 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 (10326 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
jnpiyush/agentx · 19 stars · license Apache-2.0 · pushed 2026-11-04 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_anz65eradifimbjp GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/model-fine-tuning GET https://markdownregistry.com/api/v1/blob/da24ac69e0849b280b0f7838f82c7d54d6e6fa86a544105e2fbf018c824f49e1
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.