qwen2.5-7b-instruct
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
internlm2:7b
OLLAMA GGUFinternlm2 · 7.7B · Q4_0
Mar 6, 2026 · Apple M4
Global Score
84 vs 77
Hardware Fit
97 vs 95
Quality Score
78 vs 69
Hardware
qwen2.5-7b-instruct internlm2:7b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen2.5-7b-instruct internlm2:7b
Tokens/sec24.422.7
First chunk464 ms250 ms
TTFT464 ms250 ms
Load timeN/A0.7 s
Memory usage4.0 GB10.6 GB
Memory %13%33%
HW Fit Score Breakdown
qwen2.5-7b-instruct
Speed
47/50
TTFT
20/20
Memory
30/30
internlm2:7b
Speed
45/50
TTFT
20/20
Memory
30/30
Quality
qwen2.5-7b-instruct
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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