internlm2:7b
OLLAMA GGUFinternlm2 · 7.7B · Q4_0
Mar 6, 2026 · Apple M4
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
77 vs 79
Hardware Fit
95 vs 98
Quality Score
69 vs 71
Hardware
internlm2:7b ministral-3:8b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1012
RAM32 GB24 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
internlm2:7b ministral-3:8b
Tokens/sec22.741.4
First chunk250 ms257 ms
TTFT250 ms257 ms
Load time0.7 s5.2 s
Memory usage10.6 GB9.0 GB
Memory %33%38%
HW Fit Score Breakdown
internlm2:7b
Speed
45/50
TTFT
20/20
Memory
30/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
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
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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