Meta Releases Muse Glimmer, 30-Billion Parameter AI Model That Runs on Personal Computers

Aug 10, 2026

Meta Platforms Inc. has launched Muse Glimmer, a 30-billion-parameter open-weight AI model designed to run locally on consumer laptops and PCs. Distilled from the larger Muse Spark model, Muse Glimmer is optimized for agentic workflows like coding and scheduling without cloud dependency. The release coincides with a 6,500-word essay by CEO Mark Zuckerberg, who argues against restricting superintelligence to a few experts and calls for U.S. policy changes to help domestic open-weight models compete with foreign rivals.

Muse Glimmer model release

▪Meta Platforms Inc. released Muse Glimmer, a 30-billion-parameter open-weight AI model optimized for local agent workflows, on August 10, 2026.
▪Meta Platforms Inc. released the weights for Muse Glimmer on Hugging Face under a permissive Apache 2.0 license.
▪Meta Platforms Inc. trained Muse Glimmer on its larger Muse Spark model using a process known as logit distillation.
▪Meta Platforms Inc. plans to release an open-weight version of Muse Spark, its most powerful AI model, in the near future.

Local AI deployment capabilities

▪Muse Glimmer is designed to run locally on a Mac or PC with a single consumer graphics card, targeting a 24 GB or 32 GB memory envelope.
▪Meta Platforms Inc. used 4-bit weight quantization to compress Muse Glimmer's language model to under 20 GB from its full-precision size of over 55 GB.
▪Muse Glimmer accepts interleaved text and image inputs through a dedicated perception encoder to interpret screenshots, charts, and documents.
▪Muse Glimmer features an integrated DFlash-based drafter network that proposes token blocks in parallel to accelerate generation speeds.

Benchmark performance comparisons

▪Qwen3.6-27B outperformed Muse Glimmer on several agent and coding benchmarks, scoring 75.6 on OSWorld-Verified and 77.2 on SWE-Bench Verified.
▪Muse Glimmer outperformed Gemma4-31B and Qwen3.6-27B on five of eight general-agentic benchmarks, scoring 75.5 on MCP Atlas and 74.6 on DeepSearch QA.
▪Muse Glimmer scored 51.2 on SWE-Bench Pro and 43.6 on SciCode, leading both Gemma4-31B and Qwen3.6-27B on those specific coding evaluations.

Open-weight model policy debate

▪Meta CEO Mark Zuckerberg published a 6,500-word essay titled 'The Future Is for Everyone' advocating for open-weight superintelligent AI.
▪Meta Platforms Inc. announced it will implement a governance structure giving its independent directors power to approve safety criteria for releasing models.
▪Mark Zuckerberg called for U.S. policy changes to reduce restrictions on training data, arguing that foreign labs currently hold advantages over American labs.