meta/muse-glimmer
LM-STUDIO GGUFmuse-glimmer
Aug 17, 2026 · Intel Gen Intel® Core™ i7-13620H
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
9 vs 72
Hardware Fit
28 vs 71
Quality Score
1 vs 72
Hardware
meta/muse-glimmer ministral-3:8b
MachineLENOVO 82XVMacBook Pro
CPUIntel Gen Intel® Core™ i7-13620HApple M1 Pro
Cores1610
RAM32 GB16 GB
GPUIntel(R) UHD Graphics, NVIDIA GeForce RTX 4060 Laptop GPUApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
meta/muse-glimmer ministral-3:8b
Tokens/sec3.219.8
First chunk19 ms269 ms
TTFT68.2 s269 ms
Load timeN/A10.7 s
Memory usage16.9 GB13.7 GB
Memory %53%86%
HW Fit Score Breakdown
meta/muse-glimmer
Speed
5/50
TTFT
0/20
Memory
23/30
ministral-3:8b
Speed
44/50
TTFT
20/20
Memory
7/30
Quality
meta/muse-glimmer
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
1/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest