knowledge-distillation SKILL.md skillA

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knowledge-distillation from jensen-yao/agents-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jensen-yao/agents-skills/knowledge-distillation@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jensen-yao/agents-skills
Path
skills/knowledge-distillation/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Aug 15, 2026
Size
13,600 bytes
Repository stars
5
License
MIT

Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.

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

# Knowledge Distillation: Compressing LLMs

## When to Use This Skill

Use Knowledge Distillation when you need to:
- **Compress models** from 70B → 7B while retaining 90%+ performance
- **Transfer capabilities** from proprietary models (GPT-4) to open-source (LLaMA, Mistral)
- **Reduce inference costs** by deploying smaller student models
- **Create specialized models** by distilling domain-specific knowledge
- **Improve small models** using synthetic data from large teachers

**Key Techniques**: Temperature scaling, soft targets, reverse KLD (MiniLLM), logit distillation, response distillation

**Papers**: Hinton et al. 2015 (arXiv 1503.02531), MiniLLM (arXiv 2306.08543), KD Survey (arXiv 2402.13116)

## Installation

```bash
# Standard transformers
pip install transformers datasets accelerate

# For training
pip install torch deepspeed wandb

# Optional: MiniLLM implementation
git clone https://github.com/microsoft/LMOps
cd LMOps/minillm
pip install -e .
```

## Quick Start

### Basic Knowledge Distillation

```python
import torch
import torch.nn.functional as F
from transformers import AutoModelForCausalLM, AutoTokenizer, Trainer, TrainingArguments
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jensen-yao/agents-skills/knowledge-distillation@sha256:bc27086dc02840ce

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Versions

The registry has recorded 1 version of this file, committed on Aug 15, 2026.

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  • pass: Size between 200 bytes and 200 KB (13600 bytes)
  • pass: No zero-width or bidi control characters
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Source

GitHub

jensen-yao/agents-skills · 5 stars · license MIT · pushed 2026-10-26 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bgw54y3u4blv7fag
GET https://markdownregistry.com/api/v1/resolve?ref=jensen-yao/agents-skills/knowledge-distillation
GET https://markdownregistry.com/api/v1/blob/bc27086dc02840cebef4db34db4b8406b37ff349d6e2a52848646c8daf24ff3e

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.

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