{
  "slug": "muse-glimmer-30b",
  "order": 95,
  "name": "Muse Glimmer (30B)",
  "baseTitle": "Muse Glimmer 30B",
  "company": "Meta",
  "country": "United States",
  "flag": "🇺🇸",
  "date": "2026-08-10",
  "decoderType": "Dense",
  "attention": "Gated GQA with scaleless QK-Norm, local-only RoPE, global NoPE, and 3:1 sliding-window/global attention",
  "layerMix": "39 sliding-window + 13 global gated GQA",
  "scale": "29.6B parameters (including perception encoder)",
  "totalParams": 29600000000,
  "activeParams": 29600000000,
  "context": "131,072+",
  "contextTokens": 131072,
  "license": "Apache License 2.0",
  "kvCacheText": "52 KiB",
  "kvCacheKiB": 52,
  "kvCacheLevel": "Low",
  "summary": "Meta's dense 29.6B multimodal model combines a 52-layer sandwich-norm decoder with gated GQA and a separate perception encoder; the figure focuses on the text backbone.",
  "keyDetail": "Applies RoPE only in 2,048-token local layers, uses NoPE in global layers, and gates the attention output before projection.",
  "image": {
    "full": "https://sebastianraschka.com/llm-architecture-gallery/images/architectures/muse-glimmer-30b.webp",
    "thumb": "https://sebastianraschka.com/llm-architecture-gallery/images/architectures/thumbnails/muse-glimmer-30b.webp",
    "alt": "Figure 1: Muse Glimmer 30B",
    "width": 889,
    "height": 960
  },
  "articleUrl": null,
  "links": [
    {
      "label": "config.json",
      "href": "https://huggingface.co/meta-models/Muse-Glimmer-30B/blob/main/config.json",
      "title": "meta-models/Muse-Glimmer-30B"
    },
    {
      "label": "License",
      "href": "https://huggingface.co/meta-models/Muse-Glimmer-30B/blob/main/LICENSE",
      "title": null
    },
    {
      "label": "Tech report",
      "href": "https://research.meta.ai/static/muse-glimmer-methodology",
      "title": null
    }
  ],
  "concepts": [
    {
      "slug": "gqa",
      "label": "GQA",
      "name": "Grouped-Query Attention",
      "url": "https://llm-atlas-7or.pages.dev/concepts/gqa/"
    },
    {
      "slug": "qk-norm",
      "label": "QK-Norm",
      "name": "QK-Norm",
      "url": "https://llm-atlas-7or.pages.dev/concepts/qk-norm/"
    },
    {
      "slug": "swa",
      "label": "SWA",
      "name": "Sliding Window Attention",
      "url": "https://llm-atlas-7or.pages.dev/concepts/swa/"
    },
    {
      "slug": "gated-attention",
      "label": "Gated Attention",
      "name": "Gated Attention",
      "url": "https://llm-atlas-7or.pages.dev/concepts/gated-attention/"
    },
    {
      "slug": "nope",
      "label": "NoPE",
      "name": "No Positional Embeddings",
      "url": "https://llm-atlas-7or.pages.dev/concepts/nope/"
    }
  ],
  "aai": {
    "v5": {
      "label": "AA Intelligence Index v5.0",
      "total": 6.3,
      "profile": {
        "Knowledge Work": 3.4,
        "Coding": 1.1,
        "Science": 2.8,
        "General": 18.1
      },
      "url": "https://artificialanalysis.ai/models/muse-glimmer"
    },
    "v4": {
      "label": "AA Intelligence Index v4.3.2",
      "total": 17.5,
      "profile": {
        "General": 29.2,
        "Scientific": 12.3,
        "Coding": 22.7,
        "Agents": 5.9
      },
      "url": "https://artificialanalysis.ai/models/muse-glimmer"
    }
  },
  "sourceUrl": "https://sebastianraschka.com/llm-architecture-gallery/#card-muse-glimmer-30b",
  "family": "dense",
  "url": "https://llm-atlas-7or.pages.dev/models/muse-glimmer-30b/",
  "markdownUrl": "https://llm-atlas-7or.pages.dev/models/muse-glimmer-30b.md"
}