mlx-community/Llama-3.2-3B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
internlm2:7b
OLLAMA GGUFinternlm2 · 7.7B · Q4_0
Mar 6, 2026 · Apple M4
Global Score
74 vs 77
Hardware Fit
100 vs 95
Quality Score
63 vs 69
Hardware
mlx-community/Llam… internlm2:7b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/Llam… internlm2:7b
Tokens/sec50.622.7
First chunk257 ms250 ms
TTFT257 ms250 ms
Load timeN/A0.7 s
Memory usage0.7 GB10.6 GB
Memory %2%33%
HW Fit Score Breakdown
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
internlm2:7b
Speed
45/50
TTFT
20/20
Memory
30/30
Quality
mlx-community/Llama-3.2…
Reasoning
9/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
internlm2:7b
Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
11/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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