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Fast, On Device Agentic AI with Muse Glimmer on ExecuTorch

Aug 12, 20261 min read

Summary

Today, Meta introduced Muse Glimmer, an open-weight, 30-billion-parameter model distilled from Meta’s Muse Spark for on-device agentic workflows. Alongside, ExecuTorch is adding end-to-end support for running Muse Glimmer on NVIDIA...

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How to use this in real systems

  1. 1.In practice: Today, Meta introduced Muse Glimmer, an open-weight, 30-billion-parameter model distilled from Meta’s Muse Spark for on-device agentic workflows.
  2. 2.In practice: Alongside, ExecuTorch is adding end-to-end support for running Muse Glimmer on NVIDIA...
  3. 3.In practice: Today, Meta introduced Muse Glimmer, an open-weight, 30-billion-parameter model distilled from Meta’s Muse Spark for on-device agentic workflows.

Article

Today, Meta introduced Muse Glimmer, an open-weight, 30-billion-parameter model distilled from Meta’s Muse Spark for on-device agentic workflows. Alongside, ExecuTorch is adding end-to-end support for running Muse Glimmer on NVIDIA...

Read the original coverage from PyTorch Blog: https://pytorch.org/blog/fast-ondevice-agentic-ai-with-executorch/.

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