FitMyLLM
Meta/Dense

MetaMuse Glimmer 30B

Muse Glimmer 30B — Meta's first Apache-2.0 open-weight model: a dense 30B with image input, distilled from Muse Spark for agentic work on consumer hardware. Three in four layers use a 2048-token sliding window, which keeps its KV cache small.

chatcodingreasoningmultilingualvisionagentictool_use
29.78B
Parameters
128K
Context length
10
Benchmarks
10
Quantizations
190K
HF downloads
Architecture
Dense
Released
2026-08-10
Layers
52
KV Heads
2
Head Dim
128
Family
muse

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q3_K_M4
15.6 GB
15.4 + 0.2 KV
low
Q3_K_L4.3
16.7 GB
16.5 + 0.2 KV
moderate
IQ4_XS4.46
17.3 GB
17.1 + 0.2 KV
moderate
Q4_K_S4.67
18.1 GB
17.9 + 0.2 KV
moderate
Q4_K_M4.89
18.9 GB
18.7 + 0.2 KV
good
Q5_K_S5.57
21.5 GB
21.2 + 0.2 KV
good
Q5_K_M5.7
21.9 GB
21.7 + 0.2 KV
good
Q6_K6.56
25.1 GB
24.9 + 0.2 KV
excellent
Q8_08.5
32.4 GB
32.1 + 0.2 KV
lossless
FP1616
60.3 GB
60.0 + 0.2 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN MUSE GLIMMER 30B NOW

Rent on Vast.ai →Or RunPod →

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (10)

EQ-Bench Creative Writing1804
AIME94.7
GPQA Diamond83.5
AA Long Context83.3
SWE-bench76.0
MMMU Pro74.0
Terminal-Bench 2.151.7
SciCode44.9
HLE22.0
Terminal-Bench 40.5

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run muse-glimmer:30b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

AMD RX 7900 XT
20 GB VRAM • 800 GB/s
AMD
$849
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 4000 Ada 20GB
20 GB VRAM • 432 GB/s
NVIDIA
$1250
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10M
20 GB VRAM • 500 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 3080 Ti 20 GB
20 GB VRAM • 760 GB/s
NVIDIA
$1199
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD Radeon RX 7900 XT
20 GB VRAM • 800 GB/s
AMD
$899
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 4000 Ada Generation
20 GB VRAM • 360 GB/s
NVIDIA
$1250
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 4000 SFF Ada Generation
20 GB VRAM • 280 GB/s
NVIDIA
$1250
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX A4500
20 GB VRAM • 640 GB/s
NVIDIA
$2000
NVIDIA RTX 4090
24 GB VRAM • 1008 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090 Ti
24 GB VRAM • 1008 GB/s
NVIDIA
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$850
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
NVIDIA A10 24GB
24 GB VRAM • 600 GB/s
NVIDIA
$3500
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Apple M2 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M3 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M4 (24GB)
24 GB VRAM • 120 GB/s
APPLE
$699
NVIDIA Tesla M40 24 GB
24 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P10
24 GB VRAM • 694 GB/s
NVIDIA
NVIDIA Tesla P40
24 GB VRAM • 347 GB/s
NVIDIA
NVIDIA Quadro RTX 6000
24 GB VRAM • 672 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA Quadro RTX 6000 Passive
24 GB VRAM • 624 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$1499
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10 PCIe
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10G
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA GeForce RTX 3090 Ti
24 GB VRAM • 1010 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 4090
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000

Find the best GPU for Muse Glimmer 30B

Build Hardware for Muse Glimmer 30B
▸ SPEC SHEET

Muse Glimmer 30B — 29.78B Dense.

▸ SPECIFICATIONS
PARAMETERS
29.78B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, coding, reasoning, multilingual, vision, agentic, tool_use
RELEASE DATE
2026-08-10
PROVIDER
Meta
FAMILY
muse
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M415.4 GB88%
Q3_K_L4.316.5 GB90%
IQ4_XS4.4617.1 GB92%
Q4_K_S4.6717.9 GB93%
Q4_K_M4.8918.7 GB94%
Q5_K_S5.5721.2 GB96%
Q5_K_M5.721.7 GB96%
Q6_K6.5624.9 GB97%
Q8_08.532.1 GB100%
FP161660.0 GB100%
§ 01BENCHMARK SCORES
GPQA Diamond83.5
AIME94.7
HLE22.0
aa_scicode44.9
aa_lcr83.3
mmmu_pro74.0
SWE-bench76.0
aa_terminal_bench_v251.7
aa_terminal_bench_v40.5
eqbench_creative1804.3
§ 02RUN COMMAND

Run Muse Glimmer 30B locally with Ollama — needs 18.7 GB VRAM at Q4_K_M:

$ollama run muse-glimmer:30b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
AMD RX 7900 XT
20 GB · 800 GB/s
NVIDIA RTX 4000 Ada 20GB
20 GB · 432 GB/s
NVIDIA A10M
20 GB · 500 GB/s
NVIDIA GeForce RTX 3080 Ti 20 GB
20 GB · 760 GB/s
AMD Radeon RX 7900 XT
20 GB · 800 GB/s
NVIDIA RTX 4000 Ada Generation
20 GB · 360 GB/s
NVIDIA RTX 4000 SFF Ada Generation
20 GB · 280 GB/s
NVIDIA RTX A4500
20 GB · 640 GB/s
NVIDIA RTX 4090
24 GB · 1008 GB/s
NVIDIA RTX 3090 Ti
24 GB · 1008 GB/s
NVIDIA RTX 3090
24 GB · 936 GB/s
AMD RX 7900 XTX
24 GB · 960 GB/s
Apple M4 Pro (24GB)
24 GB · 273 GB/s
NVIDIA L4 24GB
24 GB · 300 GB/s
NVIDIA A10 24GB
24 GB · 600 GB/s