lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3.5:latest
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 8, 2026 · Apple M4
Global Score
18 vs 34
Hardware Fit
59 vs 58
Quality Score
0 vs 23
Hardware
lfm2-24b-a2b qwen3.5:latest
MachineMac miniMac mini
CPUApple M4 ProApple M4
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen3.5:latest
Tokens/sec6.613.3
First chunk1025 ms438 ms
TTFT1.0 s19.8 s
Load timeN/A0.2 s
Memory usage0.0 GB8.0 GB
Memory %0%50%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
qwen3.5:latest
Speed
32/50
TTFT
1/20
Memory
25/30
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:latest
Reasoning
6/20
Coding
1/20
Instruction
3/20
Structured
0/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Weak 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