qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
81 vs 66
Hardware Fit
96 vs 100
Quality Score
75 vs 52
Hardware
qwen3:8b hf.co/empero-ai/Qw…
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M4
Cores2010
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.6.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3:8b hf.co/empero-ai/Qw…
Tokens/sec109.126.5
First chunk190 ms447 ms
TTFT190 ms447 ms
Load time4.3 s3.3 s
Memory usage5.6 GB4.8 GB
Memory %18%30%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
26/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
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
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest