Skip to main content

Automated Neural Adapter (ANA)

Project description

ANA – Automated Neural Adapter

ANA is a lightweight tool that makes fine-tuning AI models with LoRA simple and beginner-friendly. It provides a ready-to-run GUI, so you don’t need to mess with complicated scripts.

Logo)

Installation

Install directly from PyPI:

  pip install ana

Features

Automated LoRA fine-tuning workflow

Simple one-command GUI launch

Runs out of the box on Windows

No complicated setup required

Requirements

Python 3.10 or newer

Windows (Linux/Mac support coming soon)

For the best performance, install a CUDA-enabled PyTorch build that matches your GPU. Without CUDA, training will run only on CPU, which is much slower.

Usage/Examples

After installation, simply run:

    ana

This will launch the GUI window where you can select your model, dataset, and training options.

Errors & Troubleshooting

If you encounter issues installing or running, you can try the pre-built executable version here:

Download ANA (Windows EXE)

Tips

Install PyTorch with CUDA support (matching your GPU + driver) for much faster training. (Highly recommended)

If you don’t have a physical GPU, CPU training will still work, but it will be very slow.

Authors

Rudransh joshi

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

automated_neural_adapter_ana-0.4.1.tar.gz (14.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

automated_neural_adapter_ana-0.4.1-py3-none-any.whl (13.5 kB view details)

Uploaded Python 3

File details

Details for the file automated_neural_adapter_ana-0.4.1.tar.gz.

File metadata

File hashes

Hashes for automated_neural_adapter_ana-0.4.1.tar.gz
Algorithm Hash digest
SHA256 b76ec330dfdf546b7b2173e3e58d361dfe797c78a4e61d395ba9e5ffc36a4965
MD5 5eea89748493d061f67497920a5f6aab
BLAKE2b-256 72cb751ceaf9cd6d44ace7d949b5852d2fe1bf23f715268d96767f7d24a67dad

See more details on using hashes here.

File details

Details for the file automated_neural_adapter_ana-0.4.1-py3-none-any.whl.

File metadata

File hashes

Hashes for automated_neural_adapter_ana-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 4732b04512ff77ecd4862fb0deb1234905841c6d4056ca659bbea2aed7b68f59
MD5 690b218a9bf91666dd0a43b079513eba
BLAKE2b-256 a7d9cdfbbaa5d99bd9d01a0cdf36ea2c66681d84f09463ae292295519ae36aa0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page