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meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

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

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
9 vs 76
Hardware Fit
28 vs 89
Quality Score
1 vs 71

Hardware

meta/muse-glimmer ministral-3:8b
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 ministral-3:8b
Tokens/sec3.219.5
First chunk19 ms328 ms
TTFT68.2 s328 ms
Load timeN/A1.5 s
Memory usage16.9 GB10.6 GB
Memory %53%33%

HW Fit Score Breakdown

meta/muse-glimmer

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

ministral-3:8b

Speed
39/50
TTFT
20/20
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

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View meta/muse-glimmer details | View ministral-3:8b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest