Metadata-Version: 2.2
Name: elora
Version: 0.0.2
Summary: eLoRA: Efficient Rank Allocation for Budget-Constrained Fine-Tuning 🧮💰⚙️🎛️
Author-email: Mohsen Hariri <mohsen.hariri@case.edu>
License: GPL-3.0 License
Keywords: Large Language Models,Fine-Tuning,LoRA
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: importlib-metadata; python_version < "3.8"

==============
eLoRA
==============

eLoRA: Efficient Rank Allocation for Budget-Constrained Fine-Tuning 🧮💰⚙️🎛️


Installation
------------

To install the package, use pip:

.. code-block:: bash

    pip install elora


Usage
-----

To use the package, import it in your Python code:

.. code-block:: python

    import elora

    rank_pattern = elora.rank_pattern(model, base_rank)


Models.

.. code-block:: python

    import elora

    # Under development


GitHub repository: https://github.com/mohsenhariri/eLoRA
