LLM-Adapters
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
AGI-Edgerunners/LLM-Adapters
View on GitHub ↗Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
LLM-Adapters grew +0.1% in the last 30 days, ranks 60th of 203 in Fine-Tuning (LoRA / PEFT), last commit 956 days ago.
Star trajectory
123 days tracked2026-06-211.2k stars today2026-10-23
Momentum
+0.1% in 30d, below the Fine-Tuning (LoRA / PEFT) median of +0.1%.
Maintenance
Last commit 956 days ago, staler than the median of 257d.
How it compares in Fine-Tuning (LoRA / PEFT)
LLM-Adapters
1.2k
stars
+0.1% 30d
commit 956 days ago
Fine-Tuning (LoRA / PEFT) median
533
stars
+0.1% 30d
commit ~257d ago
Leader · LLMs-from-scratch
107.1k
stars
+1.6% 30d
commit 20 days ago
Ranked 60th of 203 by stars.
uclaml/SPIN1.3k-18KhoomeiK/LlamaGym1.3k-17
AGI-Edgerunners/LLM-Adapters1.2k
InternScience/GraphGen1.2k+1Bolin97/GongBU1.2k+12- Language
- Python
- License
- Apache License 2.0
- Contributors
- 7
- Forks
- 117
- Watchers
- 10
- Open issues
- 53
- Releases
- 0
- Created
- 2023-03-29
- Stars this week
- +0
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