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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

muse-glimmer

OLLAMA GGUF
Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
85 vs 74
Hardware Fit
100 vs 41
Quality Score
79 vs 88

Hardware

qwen2.5:7b muse-glimmer
MachineMACHENIKE L16PAZW GTR Pro
CPUIntel Gen Intel® Core™ i9-12900HXAMD RYZEN AI MAX+ 395
Cores2432
RAM32 GB125 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPURadeon 8060S
OSMicrosoft Windows 11 专业版 10.0.26300Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

qwen2.5:7b muse-glimmer
Tokens/sec52.412.1
First chunk48 ms8749 ms
TTFT48 ms8.7 s
Load time2.0 s0.3 s
Memory usage4.4 GB0.0 GB
Memory %14%0%

HW Fit Score Breakdown

qwen2.5:7b

Speed
50/50
TTFT
20/20
Memory
30/30

muse-glimmer

Speed
10/50
TTFT
1/20
Memory
30/30

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

muse-glimmer

Reasoning
18/20
Coding
18/20
Instruction
13/20
Structured
14/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View qwen2.5:7b details | View muse-glimmer 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