Back to leaderboard

meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

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

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_0

Good

Feb 28, 2026 · Apple M4 Pro

Global Score
9 vs 72
Hardware Fit
28 vs 100
Quality Score
1 vs 60

Hardware

meta/muse-glimmer mistral:latest
MachineLENOVO 82XVMac Mini
CPUIntel Gen Intel® Core™ i7-13620HApple M4 Pro
Cores1614
RAM32 GB64 GB
GPUIntel(R) UHD Graphics, NVIDIA GeForce RTX 4060 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedunknown

Performance

meta/muse-glimmer mistral:latest
Tokens/sec3.254.3
First chunk19 msN/A
TTFT68.2 s124 ms
Load timeN/A0.0 s
Memory usage16.9 GB9.9 GB
Memory %53%15%

HW Fit Score Breakdown

meta/muse-glimmer

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

mistral:latest

Speed
40/50
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

mistral:latest

Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View meta/muse-glimmer details | View mistral:latest details

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