internlm2:7b
OLLAMA GGUFinternlm2 · 7.7B · Q4_0
Mar 6, 2026 · Apple M4
qwen/qwen3-8b
LM-STUDIO MLXqwen3 · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
77 vs 89
Hardware Fit
95 vs 95
Quality Score
69 vs 87
Hardware
internlm2:7b qwen/qwen3-8b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
internlm2:7b qwen/qwen3-8b
Tokens/sec22.733.4
First chunk250 ms257 ms
TTFT250 ms257 ms
Load time0.7 sN/A
Memory usage10.6 GB4.3 GB
Memory %33%7%
HW Fit Score Breakdown
internlm2:7b
Speed
45/50
TTFT
20/20
Memory
30/30
qwen/qwen3-8b
Speed
45/50
TTFT
20/20
Memory
30/30
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
qwen/qwen3-8b
Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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