meta/muse-glimmer
LM-STUDIO GGUFmuse-glimmer
Aug 17, 2026 · Intel Gen Intel® Core™ i7-13620H
gemma4:e2b-mlx
OLLAMA GGUFAug 26, 2026 · Apple M1 Pro
Global Score
9 vs 88
Hardware Fit
28 vs 79
Quality Score
1 vs 92
Hardware
meta/muse-glimmer gemma4:e2b-mlx
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 gemma4:e2b-mlx
Tokens/sec3.272.8
First chunk19 ms134 ms
TTFT68.2 s30.0 s
Load timeN/A2.6 s
Memory usage16.9 GB5.7 GB
Memory %53%36%
HW Fit Score Breakdown
meta/muse-glimmer
Speed
5/50
TTFT
0/20
Memory
23/30
gemma4:e2b-mlx
Speed
50/50
TTFT
0/20
Memory
29/30
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
gemma4:e2b-mlx
Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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