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.
1 maintainer
Metadata
1 maintainer
Release files for KANama 2.5.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kanama-2.5.6.tar.gz | 3.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| KANama-2.5.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.6 kB
Release files / kanama-2.5.6.tar.gz
| Download URL | kanama-2.5.6.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
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Release files / KANama-2.5.6-py3-none-any.whl
| Download URL | KANama-2.5.6-py3-none-any.whl |
|---|---|
| Size | 2.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
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