mlx-community/gemma-3-4b-it-qat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
llama2:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
80 vs 56
Hardware Fit
100 vs 84
Quality Score
71 vs 44
Hardware
mlx-community/gemm… llama2:13b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/gemm… llama2:13b
Tokens/sec43.213.5
First chunk428 msN/A
TTFT428 ms415 ms
Load timeN/A0.6 s
Memory usage1.3 GB10.3 GB
Memory %4%32%
HW Fit Score Breakdown
mlx-community/gemma-3-4…
Speed
50/50
TTFT
20/20
Memory
30/30
llama2:13b
Speed
24/50
TTFT
30/20
Memory
30/30
Quality
mlx-community/gemma-3-4…
Reasoning
9/20
Coding
17/20
Instruction
17/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Weak Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
llama2:13b
Reasoning
9/20
Coding
3/20
Instruction
13/20
Structured
7/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Strong
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