---
title: "Knowledge Distillation: Compressing LLMs - Air Market"
description: "A big model works well but costs too much to run. Knowledge distillation trains a smaller student model to imitate the larger teacher, so you can deploy something cheaper that keeps more of the behav…"
canonical: "https://airmarket.ai/app/knowledge-distillation"
---

[Air Market](/) / [Data & Analytics](/category/data) / Knowledge Distillation: Compressing LLMs

Skill by [Orchestra Research](/@orchestra-research)

# Knowledge Distillation: Compressing LLMs

Train a smaller model to do what your big one does

## What this does

A big model works well but costs too much to run. Knowledge distillation trains a smaller student model to imitate the larger teacher, so you can deploy something cheaper that keeps more of the behavior. Reach for it when the model you want to ship is smaller than the model that currently gives you good answers.

### Top 3 things it does for you

- Train a small model from a larger teacher
- Move a strong model's behavior to an open-source one
- Bring inference costs down

## Information

**Knowledge Distillation: Compressing LLMs at a glance**

|  |  |
| --- | --- |
| Kind | Skill |
| Publisher | [Orchestra Research](/@orchestra-research) |
| Category | [Data & Analytics](/category/data) |
| Works with | Agent Skills - an open standard supported by 40+ agents |
| Version | 1.0.0 |
| Size | 22 KB |
| Licence | MIT |
| Repository | [orchestra-research/ai-research-skills](https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/19-emerging-techniques/knowledge-distillation) |
| GitHub stars | 11,987 (as of Nov 2026) |

## Security report

**Verified.** AIR scanned this exact version of Knowledge Distillation: Compressing LLMs and flagged nothing. AIR's verdict: **safe**.

**What Knowledge Distillation: Compressing LLMs's check was run against**

|  |  |
| --- | --- |
| Commit | 28f2d29236f2bade2eb92cadb2585189589a5828 |
| Content hash | ff0eec97ea61a4d3eeb6904ec7e67159ec1222dbe01a74dc083c3f6435a88d43 |
| Files read | [Browse the files at this exact commit](https://github.com/orchestra-research/ai-research-skills/blob/28f2d29236f2bade2eb92cadb2585189589a5828/19-emerging-techniques/knowledge-distillation/SKILL.md) |

A scan is named by the exact content it read, not by a version number. A different version is a different artifact, and nothing here applies to a version AIR has not scanned.

[Read the full security report for Knowledge Distillation: Compressing LLMs](/security/knowledge-distillation)

## About Knowledge Distillation: Compressing LLMs

Compress large language models by distilling knowledge from a teacher model into a smaller student model.

Use it when you want to deploy smaller models while retaining performance, transfer GPT-4 capabilities to open-source models, or reduce inference costs.

It covers temperature scaling, soft targets, reverse KLD, logit distillation and MiniLLM training strategies.

## What's inside

- SKILL.md - instructions
- references/minillm.md - reference

## Questions

### Is Knowledge Distillation: Compressing LLMs safe to install?

AIR scanned this exact version of Knowledge Distillation: Compressing LLMs and flagged nothing. AIR's verdict: safe. The verdict is named by the content that was read, at commit 28f2d29236f2, so it cannot drift onto a version nobody scanned. The full report is at https://airmarket.ai/security/knowledge-distillation.

### How do I install Knowledge Distillation: Compressing LLMs?

Open https://airmarket.ai/app/knowledge-distillation on Air Market and use the install action: Air Market hands Claude a prompt naming this exact skill, and Claude sets it up. Source, pinned to the exact commit this listing describes: https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/19-emerging-techniques/knowledge-distillation. Install from that link, not the branch.

## Related on Air Market

- [More Data & Analytics listings](/category/data)
- [Everything by Orchestra Research](/@orchestra-research)

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Canonical URL: <https://airmarket.ai/app/knowledge-distillation>