Name | localcat JSON |
Version |
0.0.10
JSON |
| download |
home_page | |
Summary | Fine-tune Large Language Models locally. |
upload_time | 2024-03-04 04:57:21 |
maintainer | |
docs_url | None |
author | |
requires_python | >=3.8 |
license | MIT License Copyright (c) 2024 Ewen Wang Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
keywords |
llm
finetune
ai
aws
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# LocalCat
[![PyPI version](https://badge.fury.io/py/localcat.svg)](https://pypi.org/project/localcat)
[![Documentation Status](https://readthedocs.org/projects/localcat/badge/?version=latest)](https://localcat.readthedocs.io)
![Python Versions](https://img.shields.io/pypi/pyversions/localcat.svg)
![GitHub](https://img.shields.io/github/license/ewen2015/localcat)
**LocalCat** is designed to make the LLM strategy easy to implement. It provides a simple API and an intuitive interface for loading, fine-tuning, and deploying large deep learning models. With LocalCat, you can easily fine-tune pre-trained models on your own data and leverage their power for your specific tasks.
## Tasks
### Translation
LocalCat offers user-friendly tools for translation tasks, allowing the translator to be deployed as an endpoint or for batch processing of `pandas` dataframes. Additionally, it provides fine-tuning capabilities for cloud deployment.
1. Load pre-trained LLMs locally or from HuggingFace
2. Fine-tune the LLMs
3. Deployment as an endpoint on AWS
### Chat
(On the way. Stay tuned.)
## Install
```python
pip install localcat
```
## The Story behind LocalCat
LocalCat is named after a cat named Hulu (葫芦), owned by my friend Flora. The inspiration for the name came from the cat's playful and curious nature, which aligns with the goals of the LocalCat package.
<p align="center">
<img width="320" height="426.7" src="https://github.com/Ewen2015/LocalCat/blob/main/images/hulu.jpg">
</p>
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