Skip to main content

A specialized toolkit for scaling experimental research with Foundation Models.

Project description

F M Core logo

fmcore is a specialized toolkit that empowers AI scientists to break new ground by simplifying large-scale experimentation with massive Foundation Models and datasets.

A primary bottleneck in Foundation Model research is implementation overhead. With fmcore, scientists can rapidly prototype new innovations in hours instead of weeks, accelerating the path to new research breakthroughs or user experiences.

Key features:

  • Easy scaling of model training and inference (see examples).
  • Standardized interfaces for parameter tuning and evaluation.
  • Built-in support for distributed computing and Foundation Model parallelism.

Installation

The minimal fmcore package can be installed from PyPI:

pip install fmcore 

To get all features, we recommend installing in a new Conda environment:

conda create -n fmcore python=3.11 --yes
conda activate fmcore
pip install uv
uv pip install "fmcore[all]"

License

This project is licensed under the Apache-2.0 License.

Contributing to fmcore

See CONTRIBUTING for more information.

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

fmcore-0.1.5.tar.gz (627.9 kB view details)

Uploaded Source

Built Distribution

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

fmcore-0.1.5-py3-none-any.whl (226.0 kB view details)

Uploaded Python 3

File details

Details for the file fmcore-0.1.5.tar.gz.

File metadata

  • Download URL: fmcore-0.1.5.tar.gz
  • Upload date:
  • Size: 627.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for fmcore-0.1.5.tar.gz
Algorithm Hash digest
SHA256 514f0c760889ed65d45e9d0401cda44c7706bbb75167719c9faa8cd5854113d5
MD5 7e87d0aabef9b5e577bdf5aac6b1e4c0
BLAKE2b-256 d00ba653db345fb1020773a480eca09d7bd271d508928699223269ffe69b2d44

See more details on using hashes here.

File details

Details for the file fmcore-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: fmcore-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 226.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for fmcore-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 481b33241fcafa3381be2881fa8794dd8c5b8682c0f106382ed171c2528964ca
MD5 c10aa19384856f3c6a09aee390478c6a
BLAKE2b-256 de5173e8459526ea086720393488fa20d1701f4ab7814e914b0ea5cc46f085c2

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