LLM-Pruner and LLaMA-Pruning
LLM-Pruner is a generalized structural pruning framework that evolved from and supersedes the earlier LLaMA-Pruning project, extending the same pruning methodology across multiple model architectures beyond just LLaMA.
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
21/25
Maintenance
0/25
Adoption
8/25
Maturity
16/25
Community
9/25
Stars: 1,109
Forks: 130
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 54
Forks: 4
Downloads: —
Commits (30d): 0
Language: Python
License: GPL-3.0
Stale 6m
No Package
No Dependents
Archived
Stale 6m
No Package
No Dependents
About LLM-Pruner
horseee/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.
About LLaMA-Pruning
horseee/LLaMA-Pruning
Structural Pruning for LLaMA
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work