qwen2.5-7b-instruct
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
84 vs 18
Hardware Fit
97 vs 59
Quality Score
78 vs 0
Hardware
qwen2.5-7b-instruct lfm2-24b-a2b
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
qwen2.5-7b-instruct lfm2-24b-a2b
Tokens/sec24.46.6
First chunk464 ms1025 ms
TTFT464 ms1.0 s
Load timeN/AN/A
Memory usage4.0 GB0.0 GB
Memory %13%0%
HW Fit Score Breakdown
qwen2.5-7b-instruct
Speed
47/50
TTFT
20/20
Memory
30/30
lfm2-24b-a2b
Speed
9/50
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
lfm2-24b-a2b
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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