Tebmer/Awesome-Knowledge-Distillation-of-LLMs

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

1.3k 73 +0/wk

GitHub

alignment compression data-augmentation data-synthesis feedback instruction-following kd knowledge-distillation large-language-model llm multi-modal self-distillation

Trend 0

Star & Fork Trend (29 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 1.3k

forks 73

Growth Velocity

Tebmer/Awesome-Knowledge-Distillation-of-LLMs has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	Awesome-Knowledge-Distillation-of-LLMs	sage	ai-agent-papers	npcpy
Stars	1.3k	1.3k	1.3k	1.3k
Forks	73	115	94	92
Weekly Growth	+0	+0	+0	+0
Language	N/A	Python	N/A	Python
Sources	1	1	1	1
License	N/A	Apache-2.0	N/A	MIT

Capability Radar vs sage

Awesome-Knowledge-Distillation-of-LLMs

sage

Maintenance Activity 0

Last code push 396 days ago.

Community Engagement 29

Fork-to-star ratio: 5.7%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.