vicuna:7b
OLLAMA GGUFllama · 7B · Q4_0
Mar 1, 2026 · Apple M4
mlx-community/quantized-gemma-2b-it
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
59 vs 45
Hardware Fit
97 vs 100
Quality Score
43 vs 21
Hardware
vicuna:7b mlx-community/quan…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
vicuna:7b mlx-community/quan…
Tokens/sec23.444.4
First chunkN/A336 ms
TTFT242 ms336 ms
Load time0.4 sN/A
Memory usage5.8 GB0.1 GB
Memory %18%0%
HW Fit Score Breakdown
vicuna:7b
Speed
37/50
TTFT
30/20
Memory
30/30
mlx-community/quantized…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
vicuna:7b
Reasoning
8/20
Coding
4/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
mlx-community/quantized…
Reasoning
4/20
Coding
1/20
Instruction
9/20
Structured
4/15
Math
2/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest