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Which machines run Muse Glimmer 30B?

meta-models/Muse-Glimmer-30B · 29.8B parameters (dense) · license apache-2.0 · on Hugging Face since 2026-08-09

Memory for weights (estimate)

Q4_K_M: ≈18.1 GB
Q8_0: ≈31.6 GB

Computed from parameter count × bits per weight. Plus context.

Fits at 4-bit

24 of 24 tracked devices

Measured results

0 public tok/s results

No public result for tracked hardware yet.

DeviceMemoryQ4_K_MQ8_0tok/s (measured)Quant, engine$ per tok/s€ per tok/s
Mac Studio M5 Ultra 80-core GPU, 256GB / 1TB256GB fitsfitsno public result ––
GMKtec EVO-X2 128GB / 1TB128GB fitsfitsno public result ––
GMKtec EVO-X2 128GB / 2TB128GB fitsfitsno public result ––
GMKtec EVO-X3 128GB / 2TB128GB fitsfitsno public result ––
Minisforum MS-S1 MAX 128GB / 2TB128GB fitsfitsno public result ––
Beelink GTR9 Pro 128GB / 2TB128GB fitsfitsno public result ––
Framework Desktop 128GB (DIY)128GB fitsfitsno public result ––
HP Z2 Mini G1a (Ryzen AI Max+ PRO 395)128GB fitsfitsno public result ––
NVIDIA DGX Spark (Founders Edition)128GB fitsfitsno public result ––
ASUS Ascent GX10 (GB10)128GB fitsfitsno public result ––
Dell Pro Max / Pro Precision with GB10, 128GB / 2TB128GB fitsfitsno public result ––
MSI EdgeXpert MS-C931 (GB10)128GB fitsfitsno public result ––
Lenovo ThinkStation PGX (GB10)128GB fitsfitsno public result ––
Mac Studio M5 Max 40-core GPU, 128GB / 512GB128GB fitsfitsno public result ––
MacBook Pro 16" M5 Max 40-core GPU, 128GB / 2TB128GB fitsfitsno public result ––
Mac Studio M5 Ultra 64-core GPU, 96GB / 1TB96GB fitsfitsno public result ––
GMKtec EVO-X2 64GB / 1TB64GB fitsfitsno public result ––
Minisforum MS-S1 MAX 64GB / 2TB64GB fitsfitsno public result ––
Framework Desktop 64GB (DIY)64GB fitsfitsno public result ––
Mac mini M5 Pro 16-core GPU, 64GB / 512GB64GB fitsfitsno public result ––
Mac mini M5 Pro 20-core GPU, 64GB / 512GB64GB fitsfitsno public result ––
NVIDIA RTX 5090 32GB (new) card, needs host PC32GB fitsdoesn't fitno public result ––
NVIDIA RTX 4090 24GB (used) card, needs host PC24GB fitsdoesn't fitno public result ––
NVIDIA RTX 3090 24GB (used) card, needs host PC24GB fitsdoesn't fitno public result ––

Fit is an estimate: weights × 1.15 + 2 GB must fit in usable memory (VRAM − 1 GB for cards, 85% of unified memory for machines). tok/s is text generation from the linked public source for that chip; "no public result" means we found none, never a guess. Why this model is listed: Apache-2.0; 2 GGUF repos in the GGUF top 30 base models.