eLoRA: Efficient Rank Allocation for Budget-Constrained Fine-Tuning 🧮💰⚙️🎛️
Project description
eLoRA: Efficient Rank Allocation for Budget-Constrained Fine-Tuning 🧮💰⚙️🎛️
Installation
To install the package, use pip:
pip install eloraUsage
To use the package, import it in your Python code:
import elora
rank_pattern = elora.rank_pattern(model, base_rank)Models.
import elora
# Under developmentGitHub repository: https://github.com/mohsenhariri/eLoRA
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
elora-0.0.8.tar.gz
(145.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
elora-0.0.8-py3-none-any.whl
(136.4 kB
view details)
File details
Details for the file elora-0.0.8.tar.gz.
File metadata
- Download URL: elora-0.0.8.tar.gz
- Upload date:
- Size: 145.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d5aa3598316d236cd3dfbfccf70e3442a1930b9e5b2e53b3c797cd7586c1c6e3
|
|
| MD5 |
5a39a26c9dac9910be273f1875ab8dfd
|
|
| BLAKE2b-256 |
24a383eff3e81ff4eb7071ebb1ab0658bedcaea0572a08552e76f957f1f4f999
|
File details
Details for the file elora-0.0.8-py3-none-any.whl.
File metadata
- Download URL: elora-0.0.8-py3-none-any.whl
- Upload date:
- Size: 136.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4914de4ac725b9472b8e161f36c7b707cbbdab267d68a8756a74a04730a6b87f
|
|
| MD5 |
446dc0c88035ed1663c8d5834eb0c55c
|
|
| BLAKE2b-256 |
ec8a945817d4753725485ef3d457378530fd96926cf50f09248fc388ff961109
|
