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meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

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

Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Aug 24, 2026 · Intel Core™ Ultra X7 358H

Global Score
9 vs 82
Hardware Fit
28 vs 59
Quality Score
1 vs 92

Hardware

meta/muse-glimmer Qwen3-80B:80B
MachineLENOVO 82XVGMKtec NucBox EVO-T2S
CPUIntel Gen Intel® Core™ i7-13620HIntel Core™ Ultra X7 358H
Cores1616
RAM32 GB64 GB
GPUIntel(R) UHD Graphics, NVIDIA GeForce RTX 4060 Laptop GPUIntel(R) Arc(TM) B390 GPU
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

meta/muse-glimmer Qwen3-80B:80B
Tokens/sec3.219.6
First chunk19 ms823 ms
TTFT68.2 s823 ms
Load timeN/A41.6 s
Memory usage16.9 GB46.9 GB
Memory %53%74%

HW Fit Score Breakdown

meta/muse-glimmer

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

Qwen3-80B:80B

Speed
26/50
TTFT
20/20
Memory
13/30

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

Qwen3-80B:80B

Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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