Metadata-Version: 2.1
Name: KANama
Version: 2.5.6
Summary: Fusing Kolmogorov–Arnold Networks with Meta's Llama model for next-level AI performance and versatility.
Home-page: https://github.com/Goekdeniz-Guelmez/KANama
Author: Gökdeniz Gülmez
Author-email: goekdenizguelmez@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: transformers
Requires-Dist: datasets
Requires-Dist: torch
Requires-Dist: dataclasses
Requires-Dist: typing
Requires-Dist: sentencepiece
Requires-Dist: matplotlib
Requires-Dist: tokenizers
Requires-Dist: tqdm

# KANama

Fusing Kolmogorov–Arnold Networks with Meta's Llama model for next-level AI performance and versatility.

## Usage

Install via PyPi:

`pip install kanama`

## Available modeels

- KANamav1: The basic Llama3.1 model mith a KAN model instead of a basic MLP.
- KANamav2: More optimized then v1.
- KANamav3: A Llama3.1 model mith a KAN and a dynaicaly adjusting Softmax Temperature.
- KANamav4: More optimized then v1.
- KANaMoEv1: v4 but with a MoE architecture.

## Examples

For a good introduction, you can look into the example files.
