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meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

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

qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
9 vs 89
Hardware Fit
28 vs 88
Quality Score
1 vs 89

Hardware

meta/muse-glimmer qwen3.8:27b-q8_0
MachineLENOVO 82XVDell Inc. PowerEdge XE8545
CPUIntel Gen Intel® Core™ i7-13620HAMD EPYC 7713 64-Core Processor
Cores16128
RAM32 GB1007 GB
GPUIntel(R) UHD Graphics, NVIDIA GeForce RTX 4060 Laptop GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSMicrosoft Windows 11 Pro 10.0.26200Rocky Linux 8.10
Archx64x64
Power Modebalancedunknown

Performance

meta/muse-glimmer qwen3.8:27b-q8_0
Tokens/sec3.240.0
First chunk19 ms177 ms
TTFT68.2 s177 ms
Load timeN/A24.7 s
Memory usage16.9 GB51.0 GB
Memory %53%5%

HW Fit Score Breakdown

meta/muse-glimmer

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

qwen3.8:27b-q8_0

Speed
38/50
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

qwen3.8:27b-q8_0

Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View meta/muse-glimmer details | View qwen3.8:27b-q8_0 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