Back to leaderboard

meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

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

aya:8b

OLLAMA GGUF

command-r · 8.0B · F16

Good

Mar 1, 2026 · Apple M4

Global Score
9 vs 66
Hardware Fit
28 vs 92
Quality Score
1 vs 55

Hardware

meta/muse-glimmer aya:8b
MachineLENOVO 82XVMacBook Air
CPUIntel Gen Intel® Core™ i7-13620HApple M4
Cores1610
RAM32 GB32 GB
GPUIntel(R) UHD Graphics, NVIDIA GeForce RTX 4060 Laptop GPUApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

meta/muse-glimmer aya:8b
Tokens/sec3.220.0
First chunk19 msN/A
TTFT68.2 s300 ms
Load timeN/A0.9 s
Memory usage16.9 GB6.0 GB
Memory %53%19%

HW Fit Score Breakdown

meta/muse-glimmer

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

aya:8b

Speed
32/50
TTFT
30/20
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

aya:8b

Reasoning
10/20
Coding
6/20
Instruction
13/20
Structured
15/15
Math
2/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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