Back to leaderboard

meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

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

starling-lm:7b

OLLAMA GGUF

llama · 7B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
9 vs 65
Hardware Fit
28 vs 96
Quality Score
1 vs 52

Hardware

meta/muse-glimmer starling-lm:7b
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 starling-lm:7b
Tokens/sec3.223.8
First chunk19 ms232 ms
TTFT68.2 s232 ms
Load timeN/A0.4 s
Memory usage16.9 GB5.3 GB
Memory %53%17%

HW Fit Score Breakdown

meta/muse-glimmer

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

starling-lm:7b

Speed
46/50
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

starling-lm:7b

Reasoning
10/20
Coding
13/20
Instruction
8/20
Structured
3/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Adequate Multilingual: Strong
View meta/muse-glimmer details | View starling-lm:7b 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