---
id: "2026-08-10-meta-muse-glimmer-open-weights"
url: "https://postcutoff.com/e/2026-08-10-meta-muse-glimmer-open-weights/"
as_of: "2026-11-13T13:49:00+01:00"
date: "2026-08-10"
date_precision: day
category: open-source
importance: 4
confidence: high
status: [Confirmed]
sources: 5
editor: human editor
human_review: null
version: "2026-10-04"
---

As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/e/2026-08-10-meta-muse-glimmer-open-weights/

# Meta returns to open weights with Muse Glimmer, a 30B Apache-2.0 agentic model

On 2026-08-10 Meta released Muse Glimmer, a 30B-parameter open-weight model under Apache 2.0, optimized for local, always-on agent workflows and designed to run on a single consumer GPU or Mac. It was Meta's first open-weight release of the Muse era and its first under a fully permissive license (Llama used a custom license).

## Key facts
- Released 2026-08-10; 30 billion parameters; weights at huggingface.co/meta-models/Muse-Glimmer-30B
- License: Apache 2.0 (unrestricted commercial use)
- Dense model (per MindStudio) with a dedicated perception encoder for multimodal input
- Quantized weights under 20GB; fits in 24GB or 32GB memory envelopes
- DFlash speculative decoding: 3.1x faster decode on RTX 5090, 1.8x on M5 Max, 1.5x on M4 Max
- Compared by Meta against Gemma4-31B and Qwen3.6-27B on agentic benchmarks

## What happened

Meta published **Muse Glimmer**, a 30B open-weight model built for agentic work (multi-step reasoning, tool use, long
trajectories, coding-harness compatibility) that runs fully on consumer hardware. It ships with a lightweight DFlash
drafter for speculative decoding and a perception encoder for images.

## Why it matters

After shifting its frontier Muse models to closed weights in April, Meta re-entered the open-weight race - under a
more permissive license than Llama ever had - directly against strong Chinese open models (Qwen) and Google's Gemma
in the local-agent segment.

## Your AI and this story

- GPT-6 Astra (training cutoff April 2026): 102 days after its cutoff
- Claude Opus 5.5 (training cutoff June 2026): 41 days after its cutoff
- Gemini 4 Hydrogen (training cutoff March 2026): 132 days after its cutoff
- Grok 4.7 (training cutoff May 2026): 71 days after its cutoff

## Sources

1. [Meta AI Research - Introducing Muse Glimmer](https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model) (research.meta.ai, official)
2. [Hugging Face - meta-models/Muse-Glimmer-30B](https://huggingface.co/meta-models/Muse-Glimmer-30B) (huggingface.co, code)
3. [Meta developer page - Muse Glimmer](https://developer.meta.com/ai/models/muse-glimmer/) (developer.meta.com, docs)
4. [VentureBeat - Meta returns to open source with Muse Glimmer](https://venturebeat.com/technology/meta-returns-to-open-source-with-muse-glimmer-an-apache-2-0-licensed-30b-parameter-ai-model-optimized-for-agents-available-now) (venturebeat.com, press)
5. [MarkTechPost - Meta AI releases Muse Glimmer](https://www.marktechpost.com/2026/08/10/meta-ai-releases-muse-glimmer/) (marktechpost.com, press)

## Changes

- 2026-09-29 (filed): Created

## Related

- 2026-08-05: [Meta launches Muse Code terminal coding agent powered by Muse Spark 1.2](https://postcutoff.com/e/2026-08-05-meta-muse-code-spark-1-2/index.md)
- 2026-04-08: [Meta Superintelligence Labs debuts Muse Spark, its first model](https://postcutoff.com/e/2026-04-08-meta-muse-spark/index.md)
- Archived: 1 video, listed in https://postcutoff.com/e/2026-08-10-meta-muse-glimmer-open-weights/index.json