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NVIDIA-NeMo/Automodel

0
View on GitHub↗
0 stars·0 forks·9 views

Automodel

Features

  • Fine-Tuning Frameworks - Distributed training library for large models.
  • Fine-Tuning Frameworks - Distributed training library with native framework support.

Star history

Star history chart for nvidia-nemo/automodelStar history chart for nvidia-nemo/automodel

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What are the main features of nvidia-nemo/automodel?

The main features of nvidia-nemo/automodel are: Fine-Tuning Frameworks.

What are some open-source alternatives to nvidia-nemo/automodel?

Open-source alternatives to nvidia-nemo/automodel include: alisawuffles/proxy-tuning. blaizzy/mlx-vlm. bytedance-seed/veomni. evolvinglmms-lab/lmms-engine. facebookresearch/lingua — Lingua is a research framework for developing, training, and experimenting with large language model architectures and… alibaba/chatlearn — A flexible and efficient training framework for large-scale alignment tasks.