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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

muse-glimmer

OLLAMA GGUF
Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
81 vs 74
Hardware Fit
96 vs 41
Quality Score
75 vs 88

Hardware

qwen3:8b muse-glimmer
MachineASUSAZW GTR Pro
CPUIntel Core™ i5-14600KFAMD RYZEN AI MAX+ 395
Cores2032
RAM32 GB125 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERRadeon 8060S
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

qwen3:8b muse-glimmer
Tokens/sec109.112.1
First chunk190 ms8749 ms
TTFT190 ms8.7 s
Load time4.3 s0.3 s
Memory usage5.6 GB0.0 GB
Memory %18%0%

HW Fit Score Breakdown

qwen3:8b

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

muse-glimmer

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

Quality

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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 qwen3:8b 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