{"slug": "muse-glimmer-30b", "title": "Muse Glimmer 30B", "summary": "Meta released Muse Glimmer 30B, its first open-weights model in the Muse family, under the Apache 2.0 license, featuring a 1.8B vision encoder and a 128K+ context window for coding, agentic workflows, and visual reasoning. Ollama ships the model day-0 with an MLX-optimized tag for Apple Silicon, reporting 1.5x-1.8x faster performance with DFlash, and offers quantized versions (Q4_K_M, Q8_0, FP16) for local deployment on high-end hardware. The model is positioned as a smaller, open alternative to the proprietary Muse Spark family, with independent benchmarks still pending.", "body_md": "# Muse Glimmer 30B\n\nenthusiast**Meta’s first open-weights model in the Muse family**, released under Apache 2.0. Muse Glimmer 30B is a dense multimodal model with a built-in **1.8B vision encoder** and a **128K+ context window**. It is designed for coding, agentic workflows, and visual reasoning.\n\n**Local deployment.** Ollama ships the model day-0 with an MLX-optimized tag for Apple Silicon: `muse-glimmer:30b-mlx`\n\n. Ollama reports that the MLX build runs **1.5x-1.8x faster with DFlash** than the baseline implementation. Other common tags include `muse-glimmer:30b`\n\n, `muse-glimmer:30b-q4_K_M`\n\n, `muse-glimmer:30b-q8_0`\n\n, and `muse-glimmer:30b-fp16`\n\n.\n\n**Agent launch flows.** The Ollama registry tags the model for direct launch with Claude Code, Codex, Pi, Hermes, and other agent tools that use the Ollama API.\n\n**Honest framing.** Glimmer is positioned as a smaller, open alternative to the proprietary Muse Spark family. The 30B dense size means the full-precision model requires substantial unified memory, but quantized versions fit on high-end Apple Silicon Macs and modern NVIDIA/AMD GPUs. Independent coding and reasoning benchmarks are still rolling in; treat early claims as preliminary until replicated.\n\n- 30.0B\n- 128k\n- apache 2.0\n- Aug 2026\n\n## Run it locally\n\nPer-quant memory needs and a static \"can you run it?\" reference - no rig entry required\n\n### Can you run it? - reference rigs\n\n| Rig | Q4_K_M | Q8_0 | FP16 |\n|---|---|---|---|\n| NVIDIA Jetson Orin NX 16GB |\n|\n\n[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.\n\n## Download options\n\n## Or run it in the cloud\n\nLive per-provider pricing, throughput and uptime. Click a column to sort.\n\n| Provider | Type | Input $/M | Output $/M | Cache $/M | Tok/s | Latency | Uptime | Value |\n|---|---|---|---|---|---|---|---|---|\n| Sub | - | - | - | - | - | - | $20.00/mo Pro | |\n| Sub | - | - | - | - | - | - | $100.00/mo Max |\n\nDefault order: throughput among 95%+ uptime providers, then latency; subscriptions last. Sort by any column. Subscription rows show $/mo in the Value column - per-token columns are \"-\". Affiliate links are marked sponsored / nofollow. Confirm current pricing on the provider's site before committing.\n\n[Detailed API pricing page + JSON endpoint →](/models/muse-glimmer-30b/pricing)\n\n## Inference cost over time\n\nData accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.", "url": "https://wpnews.pro/news/muse-glimmer-30b", "canonical_source": "https://tokenstead.ai/models/muse-glimmer-30b", "published_at": "2026-08-10 13:49:15+00:00", "updated_at": "2026-08-10 14:37:18.499478+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "generative-ai", "ai-products", "ai-infrastructure"], "entities": ["Meta", "Muse Glimmer 30B", "Ollama", "Apple Silicon", "NVIDIA", "AMD", "Muse Spark"], "alternates": {"html": "https://wpnews.pro/news/muse-glimmer-30b", "markdown": "https://wpnews.pro/news/muse-glimmer-30b.md", "text": "https://wpnews.pro/news/muse-glimmer-30b.txt", "jsonld": "https://wpnews.pro/news/muse-glimmer-30b.jsonld"}}