SparseML
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
🚨 2025 End of Life Announcement: DeepSparse, SparseML, SparseZoo, and Sparsify
Dear Community,
We’re reaching out with heartfelt thanks and important news. Following Neural Magic’s acquisition by Red Hat in January 2025, we’ve shifted our focus to commercial and open-source offerings built around vLLM (virtual large language models).
As part of this transition, we ceased development and deprecated the community versions of DeepSparse (including DeepSparse Enterprise), SparseML, SparseZoo, and Sparsify on June 2, 2025. These tools no longer will receive updates or support.
From day one, our mission was to democratize AI through efficient, accessible tools. We’ve learned so much from your feedback, creativity, and collaboration—watching these tools become vital parts of your ML journeys has meant the world to us.
Though we’ve wound down the community editions, we remain committed to our original values. Now as part of Red Hat, we’re excited to evolve our work around vLLM and deliver even more powerful solutions to the ML community.
With gratitude, The Neural Magic Team (now part of Red Hat)
1 maintainer
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1 maintainer
Release files for sparseml 1.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| sparseml-1.9.0.tar.gz | 11.9 kB | Details |
Release files / sparseml-1.9.0.tar.gz
| Download URL | sparseml-1.9.0.tar.gz |
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| Size | 11.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
db8a3540dd04a3ec92c456f3ddfbcec279515ccb3bbf1fdafe58e8a188d42377
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BLAKE2b-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.11.4
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