vicuna:13b
llama · 13B · Q4_0
Mar 1, 2026 · Apple M4
smollm2:1.7b
llama · 1.7B · Q8_0
Mar 1, 2026 · Apple M4
Global Score
62 vs 63
Hardware Fit
84 vs 99
Quality Score
48 vs 39
Hardware
vicuna:13b smollm2:1.7b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
vicuna:13b smollm2:1.7b
Tokens/sec13.450.3
TTFT438 ms81 ms
Load time0.6 s0.4 s
Memory usage10.3 GB3.7 GB
Memory %32%12%
HW Fit Score Breakdown
vicuna:13b
Speed
24/40
TTFT
30/30
Memory
30/30
smollm2:1.7b
Speed
40/40
TTFT
30/30
Memory
29/30
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
smollm2:1.7b
Reasoning
7/20
Coding
0/20
Instruction
12/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running