Factual package intelligence from PyPI

nemo-automodel 0.5.0 package intelligence

DTensor-native pretraining and fine-tuning for LLMs/VLMs with day-0 Hugging Face support, GPU-acceleration, and memory efficiency.

pip install nemo-automodel

Current version
0.5.0
Python requirement
>=3.10
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
3.3 MiB
Release history
7 releases with files
Median release cadence
50 days

nemo-automodel dependencies

PyPI declares 56 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. datasets >=4.0.0
  2. megatron-fsdp >=0.2.3
  3. mistral-common
  4. pybind11
  5. pyyaml
  6. tiktoken
  7. torch >=2.6.0
  8. torchdata
  9. transformers ==5.8.1
  10. wandb >=0.28.0
  11. torchao
  12. mlflow

The compact report shows 12 of 56 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

nemo-automodel publishes 1 wheel and 1 source archive for version 0.5.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for nemo-automodel 0.5.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .