Collective Mind workflow automation framework (MLCommons CM)
This Python package contains 2 front-ends:
- Collective Mind eXtension or Common Metadata eXchange (CMX, 2024+)
- Legacy Collective Mind (CM, 2021-2024)
License
Copyright
Copyright (c) 2021-2025 MLCommons
Grigori Fursin, the cTuning foundation and OctoML donated this project to MLCommons to benefit everyone.
Copyright (c) 2014-2021 cTuning foundation
Author
Maintainers
- CM, CM4MLOps and MLPerf automations: MLCommons infra WG
- CMX (the next generation of CM): Grigori Fursin
Concepts
To learn more about the concepts and motivation behind this project, please explore the following articles and presentations:
- HPCA'25 article "MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI": [ Arxiv ], [ tutorial to reproduce results using CM/CMX ]
- NeuralMagic's vLLM MLPerf inference 4.1 submission automated by CM: [README]
- SDXL MLPerf inference 4.1 submission automated by CM: [README]
- "Enabling more efficient and cost-effective AI/ML systems with Collective Mind, virtualized MLOps, MLPerf, Collective Knowledge Playground and reproducible optimization tournaments": [ ArXiv ]
- ACM REP'23 keynote about the MLCommons CM automation framework: [ slides ]
- ACM TechTalk'21 about Collective Knowledge project: [ YouTube ] [ slides ]
- Journal of Royal Society'20: [ paper ]
Citation
If you found the CM, CMX and MLPerf automations helpful, kindly reference this article: [ ArXiv ], [ BibTex ].
You are welcome to contact the author to discuss long-term plans and potential collaboration.
Metadata
Release files for cmind 4.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cmind-4.2.0.tar.gz | 77.9 kB | Without provenance | Details for cmind-4.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cmind-4.2.0-py3-none-any.whl | Python 3 | none | any | Details for cmind-4.2.0-py3-none-any.whl |
Total release size: 163.4 kB
Release files / cmind-4.2.0.tar.gz
| Download URL | cmind-4.2.0.tar.gz |
|---|---|
| Size | 77.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
356a308c85fa0c60c272c1d137debf122a61ca56173fedf92aea4023bb609e66
|
|
BLAKE2b-256 checksum How to use checksums |
8107ca7dbfff9145a59f0887581cb118b0ef5545d60a125f49c85e078d53a669
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.11
|
Release files / cmind-4.2.0-py3-none-any.whl
| Download URL | cmind-4.2.0-py3-none-any.whl |
|---|---|
| Size | 85.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
660e31f1cc58d2cb64f650f9c04a5a0fbb9cfdb19918f4f923f987dd6440e814
|
|
BLAKE2b-256 checksum How to use checksums |
0b1d06b957b25fbe96cc4ca58fe58334f1bfc458869736e4c01931389af174c8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.11
|
Security for cmind 4.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.