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:

    python -m 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-7.6.1.tar.gz (14.9 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-7.6.1-py3-none-any.whl (14.3 kB view details)

Uploaded Python 3

File details

Details for the file automated_neural_adapter_ana-7.6.1.tar.gz.

File metadata

File hashes

Hashes for automated_neural_adapter_ana-7.6.1.tar.gz
Algorithm Hash digest
SHA256 eba1e2fa6136aafdac833e43f6bcd92bee83e9970ff874de45212c153a8cc2b0
MD5 09cd333905b2a71ed46ebbf5d32092a9
BLAKE2b-256 3a3337ee784ae4e386110b419e9de59fd311c987754b4bef655b032f45d82498

See more details on using hashes here.

File details

Details for the file automated_neural_adapter_ana-7.6.1-py3-none-any.whl.

File metadata

File hashes

Hashes for automated_neural_adapter_ana-7.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3ffde8e38319ebc68245dc594f84ded35d33f8f965399664b3e463fce7079071
MD5 95ed3d8e4953dac6f08066a6f45d0003
BLAKE2b-256 97761de60d90160524a19ede66a1c7c1ce13763b5c77b07271b2f7125a816e2f

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