Muse Glimmer — local AI model by Meta (Superintelligence Labs)
Written by Jakub Rusinowski · Last updated
Meta's return to open weights, and its first since Llama 4. A 29.6B dense model distilled from the closed Muse Spark, with its own perception encoder, built specifically for agentic work on one consumer card: multi-step reasoning, tool use and failure recovery in a single checkpoint that runs with no network access.
Variants
The smallest Muse Glimmer variant needs about 19 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.
| Model | VRAM at Q4 | VRAM | Context | Run it |
|---|---|---|---|---|
| Muse Glimmer 30B → 29.6B | ~18.7 GB | 131,072 | ollama run muse-glimmer:30b |
Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.
How to run Muse Glimmer locally
Install Ollama, then pull the tag.
ollama run muse-glimmer:30bPick a size above for its own VRAM figure, speed estimate and install command.
Licence
Commercial use permitted. No usage restrictions beyond attribution.
Applies to: Muse Glimmer 30BRecommended GPU
The cheapest catalogued GPU that runs Muse Glimmer locally (min 19 GB VRAM) is the AMD Radeon RX 7900 XTX (24 GB).
Muse Glimmer — frequently asked questions
How much VRAM does Muse Glimmer need?
Muse Glimmer needs about 19 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Muse Glimmer 30B (19 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.
Can I run Muse Glimmer on an RTX 4090 (24 GB)?
Yes — Muse Glimmer runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.
What quantization should I use for Muse Glimmer?
Q4_K_M is the best balance of quality and VRAM for Muse Glimmer in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.
How do I run Muse Glimmer with Ollama?
Install Ollama, then run: ollama run muse-glimmer:30b. This downloads Muse Glimmer and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.