Back to leaderboard

meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

Aug 17, 2026 · Intel Gen Intel® Core™ i7-13620H

gemma4:e4b-it-q8_0

OLLAMA GGUF

gemma4 · 8.0B · Q8_0

Excellent

Aug 26, 2026 · Apple M1 Pro

Global Score
9 vs 91
Hardware Fit
28 vs 88
Quality Score
1 vs 92

Hardware

meta/muse-glimmer gemma4:e4b-it-q8_0
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:e4b-it-q8_0
Tokens/sec3.230.0
First chunk19 ms311 ms
TTFT68.2 s6.2 s
Load timeN/A6.9 s
Memory usage16.9 GB5.0 GB
Memory %53%31%

HW Fit Score Breakdown

meta/muse-glimmer

Speed
5/50
TTFT
0/20
Memory
23/30

gemma4:e4b-it-q8_0

Speed
50/50
TTFT
8/20
Memory
30/30

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:e4b-it-q8_0

Reasoning
18/20
Coding
19/20
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest