STACKQUADRANT

Tebmer/Awesome-Knowledge-Distillation-of-LLMs

LLM Frameworks

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.

3.9
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Documentation Qualityw: 20%
4.4

No dedicated docs site. Description: 226 chars. Stars signal: 1,294. Contributors: 2. Score: 4.4/10

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4.2

Stars: 1,294. Contributors: 2. Watchers: 18. Forks: 72. Issue ratio: 0.2%. Score: 4.2/10

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1.0

Last commit: 496d ago. Weekly commits: 0. No releases published. Maturity bonus: 2.4y old. Score: 1/10

API Design & DXw: 20%
6.1

Stars/issues ratio: 647. No dedicated API docs. No license specified. Popularity signal: 1,294 stars. Score: 6.1/10

Production Readinessw: 15%
3.1

Battle-tested: 1,294 stars. Peer review: 2 contributors. No versioned releases. No license (risky for production). Age: 2.4 years. Maintenance: last commit 496d ago. Score: 3.1/10

Ecosystem Integrationw: 10%
3.9

Fork interest: 72. No license (integration risk). Adoption: 1,294 stars. Score: 3.9/10

Tags
alignmentcompressiondata-augmentationdata-synthesisfeedbackinstruction-followingkdknowledge-distillationlarge-language-modelllm
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