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 elora
Usage
To use the package, import it in your Python code:
import elora
rank_pattern = elora.rank_pattern(model, base_rank)
Models.
import elora
# Under development
GitHub repository: https://github.com/mohsenhariri/eLoRA
Project details
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-0.0.7.tar.gz
(85.7 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-0.0.7-py3-none-any.whl
(59.9 kB
view details)
File details
Details for the file elora-0.0.7.tar.gz.
File metadata
- Download URL: elora-0.0.7.tar.gz
- Upload date:
- Size: 85.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34b972f7896ba338dd9d1ce78d1c7e73e1fd6ab2d31b18e4c74bc63730f3450d
|
|
| MD5 |
876f067f863028fe047b5c66979e8c5f
|
|
| BLAKE2b-256 |
ec7035ffc7ba56bd3ebd75a62fa63ac892deed90e0ce8c554584e6fcf62b41e8
|
File details
Details for the file elora-0.0.7-py3-none-any.whl.
File metadata
- Download URL: elora-0.0.7-py3-none-any.whl
- Upload date:
- Size: 59.9 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 |
ec83615406d2786636c4c076456d58bbfa881d0c66f6e01dc966b88115b572f9
|
|
| MD5 |
acb6bed07d36f9940dcf433417f80aa0
|
|
| BLAKE2b-256 |
a1c7014d029e87d3efe3478e9979e767f045fc33be223a0de52aa4d504347418
|