wizardlm2:7b
llama · 7B · Q4_0
Mar 2, 2026 · Apple M4
vicuna:13b
llama · 13B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
59 vs 59
Hardware Fit
97 vs 84
Quality Score
43 vs 48
Hardware
wizardlm2:7b vicuna:13b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
wizardlm2:7b vicuna:13b
Tokens/sec23.213.4
TTFT264 ms438 ms
Load time0.6 s0.6 s
Memory usage9.9 GB10.3 GB
Memory %31%32%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/40
TTFT
30/30
Memory
30/30
vicuna:13b
Speed
24/40
TTFT
30/30
Memory
30/30
Quality
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
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
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running