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vicuna:13b

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

wizardlm2:7b

llama · 7B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score
59 vs 59
Hardware Fit
84 vs 97
Quality Score
48 vs 43

Hardware

vicuna:13b wizardlm2:7b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

vicuna:13b wizardlm2:7b
Tokens/sec13.423.2
TTFT438 ms264 ms
Load time0.6 s0.6 s
Memory usage10.3 GB9.9 GB
Memory %32%31%

HW Fit Score Breakdown

vicuna:13b

Speed
24/40
TTFT
30/30
Memory
30/30

wizardlm2:7b

Speed
37/40
TTFT
30/30
Memory
30/30

Quality

vicuna:13b

Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

wizardlm2:7b

Reasoning
6/20
Coding
11/20
Instruction
10/20
Structured
4/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Strong

Run yours and compare

npx metrillm@latest bench

Requires Node 20+ and Ollama or LM Studio running