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meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

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

lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
9 vs 80
Hardware Fit
28 vs 95
Quality Score
1 vs 73

Hardware

meta/muse-glimmer lfm2.5:8b
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 lfm2.5:8b
Tokens/sec3.298.5
First chunk19 ms167 ms
TTFT68.2 s2.5 s
Load timeN/A3.0 s
Memory usage16.9 GB6.0 GB
Memory %53%37%

HW Fit Score Breakdown

meta/muse-glimmer

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

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

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

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View meta/muse-glimmer details | View lfm2.5:8b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest