qwen3.5:2b
OLLAMA GGUFqwen35 · 2.3B · Q8_0
Mar 2, 2026 · Apple M4
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
73 vs 78
Hardware Fit
100 vs 100
Quality Score
62 vs 68
Hardware
qwen3.5:2b 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
qwen3.5:2b lfm2-24b-a2b
Tokens/sec30.4105.9
First chunkN/A252 ms
TTFT215 ms252 ms
Load time1.8 sN/A
Memory usage4.5 GB0.1 GB
Memory %14%0%
HW Fit Score Breakdown
qwen3.5:2b
Speed
40/50
TTFT
30/20
Memory
30/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:2b
Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
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