Python · Apache-2.0
AGI-Edgerunners/LLM-Adapters
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
★ 1.2k
Stars
117 forks · 55 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
22.9
Momentum / 100
see the breakdown below
3y ago
Created
last push 2y ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 12.9 | last week ran 1.86× the monthly pace |
| Freshness | 15 | 0.0 | last push 2y ago; decays to zero at 180 days |
| Scale | 15 | 9.0 | 1.2k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 22.9 | sum of the above |
Detail
| Topics | adaptersfine-tuninglarge-language-modelsparameter-efficient |
| Matched on | LLM & Inference (fine-tuning) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +2 stars over 26 days = 0.1/day |
| Lifetime average | 0.94 stars/day over 1,317 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |