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-0.1.6.dev35.tar.gz (701.8 kB view details)

Uploaded Source

Built Distribution

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

fmcore-0.1.6.dev35-py3-none-any.whl (290.3 kB view details)

Uploaded Python 3

File details

Details for the file fmcore-0.1.6.dev35.tar.gz.

File metadata

  • Download URL: fmcore-0.1.6.dev35.tar.gz
  • Upload date:
  • Size: 701.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.28.1

File hashes

Hashes for fmcore-0.1.6.dev35.tar.gz
Algorithm Hash digest
SHA256 3ae18b74cd69c97c2136f094ec785df0daf6a416fa52970f7ad542529fa7dcc1
MD5 2aa1a6d796be62cec0a7062f48fab746
BLAKE2b-256 2a7fa32bf726f807a8a3433f6198ad522df79595b126ffad6f552f22514ed710

See more details on using hashes here.

File details

Details for the file fmcore-0.1.6.dev35-py3-none-any.whl.

File metadata

  • Download URL: fmcore-0.1.6.dev35-py3-none-any.whl
  • Upload date:
  • Size: 290.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.28.1

File hashes

Hashes for fmcore-0.1.6.dev35-py3-none-any.whl
Algorithm Hash digest
SHA256 9db422ef0d67f664ece10a222b722d08b88889e689ec4d94296cc2d38f4df945
MD5 9cce05b42645b7ffd9e615c255acb754
BLAKE2b-256 682fc9ed0fb3b9b35d3e400e5335cd00f3ee821d49afc533bbc2117b562ee678

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