lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3.5-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
18 vs 26
Hardware Fit
59 vs 63
Quality Score
0 vs 10
Hardware
lfm2-24b-a2b qwen3.5-27b
MachineMac miniMac mini
CPUApple M4 ProApple M4 Pro
Cores1414
RAM64 GB64 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen3.5-27b
Tokens/sec6.69.5
First chunk1025 ms1099 ms
TTFT1.0 s1.1 s
Load timeN/AN/A
Memory usage0.0 GB16.3 GB
Memory %0%25%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
qwen3.5-27b
Speed
13/50
TTFT
20/20
Memory
30/30
Quality
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
qwen3.5-27b
Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
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