LLM-Pruner
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc. observed · 2026-10-16
Health v2 · maintenance only
30/100
- Activity 0
- Release rhythm 35
- Longevity 89
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1252
- days_rel: n/a
- days_push: 743
- n_releases_24m: 0
Adoption not part of the score
1142 stars · 132 forks observed · 2026-10-16
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| horseee/LLM-Pruner | main | 30 |
| horseee/Awesome-Efficient-LLM | main | 39 |
| horseee/LLaMA-Pruning | examples | 10 |
For agents
markdown · JSON · MCP: product_card(name="horseee/LLM-Pruner")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem