Muse Glimmer 30B — VRAM, speed & local setup
Written by Jakub Rusinowski · Last updated
Text and image in, 128K context, Apache-2.0. Meta targets a 24 GB card with the 4-bit build; the Ollama tag is an 18 GB quantised download. Grouped-query attention keeps the KV cache small for its size.
Muse Glimmer 30B needs about 19 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.
VRAM and speed by quantization
Quoted against NVIDIA RTX 4090 (24 GB). Weights plus overhead only: this model's architecture is unpublished, so no KV cache is added.
| Quant | Memory | VRAM | Speed (est.) | Fit |
|---|---|---|---|---|
| Q2_K 2.63 bpw | 10.5 GB | ~61 tok/s | Fits | |
| Q3_K_M 3.41 bpw | 13.4 GB | ~50 tok/s | Fits | |
| Q4_K_M 4.83 bpw | 18.7 GB | ~37 tok/s | Fits | |
| Q5_K_M 5.67 bpw | 21.8 GB | ~32 tok/s | Tight | |
| Q6_K 6.56 bpw | 25.1 GB | ~4 tok/s | Offload | |
| Q8_0 8.50 bpw | 32.3 GB | ~3 tok/s | Offload | |
| F16 16.00 bpw | 60 GB | — | Too big |
Black marker = usable memory on the NVIDIA RTX 4090 (24 GB). Estimates from the memory-bandwidth roofline on the methodology page. Muse Glimmer 30B VRAM calculator →
Get Muse Glimmer 30B running
The cheapest catalogued GPU that runs Muse Glimmer 30B is the AMD Radeon RX 7900 XTX (24 GB).
or compare on Vast.ai from $0.35/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
How to run Muse Glimmer 30B
Install Ollama, then run:
ollama run muse-glimmer:30bSpecifications
Corroborated — Two or more independent sources agree on these figures, but the model card itself was not retrieved. Treat the numbers as good rather than confirmed.
- Parameters
- 29.6 Billion
- Context window
- 131,072
- Architecture
- Dense + perception encoder
- Provider
- Meta (Superintelligence Labs)
- Licence
- Apache 2.0
- Practical deployment
- Single consumer GPU
- Specified at
- Q4_K_M
- System RAM
- 32 GB
- Record updated
- 2026-09-19
Commercial use permitted. No usage restrictions beyond attribution.
Quality and use cases
Scores as published by the model’s authors or an independent evaluator — quality, not throughput, and not measured by us.
Independent evaluation — not vendor-claimed and not measured by us
| Benchmark | Score | Provenance |
|---|---|---|
| AA Intelligence Index v4.3.2 (High) | 17 | independent · Artificial Analysis · snapshot 2026-10-13 |
Muse Glimmer 30B — frequently asked questions
How much VRAM does Muse Glimmer 30B need?
About 19 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.
Does Muse Glimmer 30B run on an RTX 4090 (24 GB)?
Yes. Muse Glimmer 30B needs about 19 GB at Q4_K_M, inside a 24 GB card, at an estimated 37 tokens/sec.
How do I run Muse Glimmer 30B locally?
Install Ollama and run `ollama run muse-glimmer:30b`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.