Metadata-Version: 2.4
Name: llm-study
Version: 0.1.1
Summary: Practical tools for large language model study
Project-URL: Homepage, https://github.com/WilliamBy/llm_utils
Project-URL: Bug Tracker, https://github.com/WilliamBy/llm_utils/issues
Author-email: LetuSsS <weiliang_bai@foxmail.com>
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Requires-Dist: transformers>=4.50.0
Description-Content-Type: text/markdown

<p align="center">
![logo](./assets/logo.png)
</p>
<h3 align="center">
Practical toolkit for LLM studies
</h3>
<p align="center">
[![PyPI version](https://img.shields.io/pypi/v/llm-toolset.svg)](https://pypi.org/project/llm-toolset/) [![Made with Qwen](https://img.shields.io/badge/Made%20with-Qwen-blue)](https://github.com/QwenLM/Qwen3-Coder)
</p>
---

## Installation
To install LLM Toolset, ensure you have Python 3.9 or higher installed, then run the following command:
```bash
pip install llm-toolset
```

## Dependencies
LLM Toolset depends on the following libraries:
- transformers (version >= 4.50.0)

### Example 1: kv_calc.py
`kv_calc.py` provides basic key-value calculation functionalities.
```python
from llm_toolset.kv_calc import calculate_key_value

result = calculate_key_value(data)
```

## Links
- [Homepage](https://github.com/WilliamBy/llm_utils)
- [Issue Tracker](https://github.com/WilliamBy/llm_utils/issues)
