wizardlm2:7b
llama · 7B · Q4_0
Mar 2, 2026 · Apple M4
smollm2:135m
llama · 134.52M · F16
Mar 1, 2026 · Apple M4
Global Score
65 vs 48
Hardware Fit
97 vs 100
Quality Score
43 vs 14
Hardware
wizardlm2:7b smollm2:135m
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
wizardlm2:7b smollm2:135m
Tokens/sec23.2245.0
TTFT264 ms31 ms
Load time0.6 s0.4 s
Memory usage9.9 GB0.6 GB
Memory %31%2%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/40
TTFT
30/30
Memory
30/30
smollm2:135m
Speed
40/40
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
smollm2:135m
Reasoning
4/20
Coding
0/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running