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Releases: neuralmagic/sparsify

Sparsify v1.6.1 Patch Release

20 Dec 22:33
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This is a patch release for 1.6.0 that contains the following changes:

Sparsify v1.6.0

11 Dec 21:24
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1.6.0 Update

Given our recent focus as a company on fine-tuning and optimization pathways to enable performant LLM inference on CPUs, we will be pausing CV and NLP support for Sparsify Alpha, effective immediately.

We understand that this may be disappointing news for some of you. We are grateful for your feedback and support during the alpha testing phase of Sparsify. We believe that our new focus on LLM fine-tuning and optimization will lead to even more opportunities and value created for our users.

You will still be able to pip install and use Sparsify Alpha for CV and NLP use cases; however, we will no longer be providing bug fixes, prioritizing support, or building new features and integrations for non-LLM flows. We will still be taking open-source contributions for fixes outside of LLMs, but for the near term, our internal team’s focus will be on enabling LLM flows.

We will provide more information about these new efforts in building Sparsify into the best LLM fine-tuning and optimization tool on the market over the coming months.

Thank you again for your support. We look forward to continuing to work with you to develop robust and innovative tools for machine learning. Let us know if you have any questions or feedback with regard to Sparsify!

If you want to try out Sparsify Alpha, Get started here.

Want to kick the tires? Read the Sparsify Quickstart Guide.

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Resolved Issues:

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Sparsify release version 1.5.0 intentionally skipped.

Sparsify v1.6.0-alpha

20 Jul 19:15
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New Features:

Neural Magic is excited to announce that Sparsify Alpha is ready for you to try out!

Sparsify enables you to accelerate inference without sacrificing accuracy. Using simple web app and one-command API calls, you can apply state-of-the-art pruning, quantization, and distillation algorithms to neural networks in the next generation of Sparsify.

Want to jump right in? Get started.

Want to kick the tires? Read the Sparsify Quickstart Guide.

Changes:

  • None

Resolved Issues:

  • None

Known Issues:

  • None

Sparsify release version 1.5.0 intentionally skipped.

Sparsify v1.4.0

17 Feb 20:42
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New Features:

Product development for Sparsify has been suspended. However, we are excited to mention the next generation of Sparsify is underway! You can expect more features and simplicity to build sparse models to target optimal general performance at scale.

We will share more in the coming weeks. In the meantime, sign up for our Early Access Waitlist and be the first to try the Sparsify Alpha.

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Known Issues:

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Sparsify v1.3.0

21 Dec 21:23
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Sparsify v1.2.0

28 Oct 00:43
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New Features:

  • None

Changes:

  • Latest dependencies updated for SparseML and DeepSparse Engine.
  • Minimum Python version changed to 3.7 as 3.6 reached EOL.

Resolved Issues:

  • None

Known Issues:

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Sparsify v1.1.0

25 Aug 19:29
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New Features:

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Changes:

  • Sparsify upgraded to use new SparseZoo APIs with 1.1 release.

Resolved Issues:

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Known Issues:

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Sparsify v1.0.0

01 Jul 16:39
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New Features:

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Changes:

  • Dependency upgrades resolved to mitigate potential vulnerabilities.

Resolved Issues:

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Known Issues:

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Sparsify v0.12.1 Patch Release

05 May 18:41
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This is a patch release for 0.12.0 that contains the following changes:

  • Created recipes no longer crash when running with SparseML.
  • Package versions upgraded for the UI based on dependabot security recommendations.

Sparsify v0.12.0

22 Apr 13:45
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New Features:

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Changes:

  • Sparsify updated to use the latest 0.12 SparseML and DeepSparse packages.

Resolved Issues:

  • None

Known Issues:

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