qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Marginal

Mar 2, 2026 · Apple M4

muse-glimmer

OLLAMA GGUF

Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score

47 vs 74

Hardware Fit

67 vs 41

Quality Score

38 vs 88

Hardware

qwen3:8b muse-glimmer

MachineMacBook AirAZW GTR Pro

CPUApple M4AMD RYZEN AI MAX+ 395

Cores1032

RAM32 GB125 GB

GPUApple M4Radeon 8060S

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

qwen3:8b muse-glimmer

Tokens/sec18.712.1

First chunkN/A8749 ms

TTFT12.1 s8.7 s

Load time1.2 s0.3 s

Memory usage9.5 GB0.0 GB

Memory %30%0%

HW Fit Score Breakdown

qwen3:8b

Speed

31/50

TTFT

6/20

Memory

30/30

muse-glimmer

Speed

10/50

TTFT

1/20

Memory

30/30

Quality

qwen3:8b

Reasoning

5/20

Coding

5/20

Instruction

4/20

Structured

12/15

Math

2/15

Multilingual

10/10

Reasoning: Weak Coding: Weak Instruction Following: Poor Structured Output: Strong Math: Poor 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