lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen2.5:3b
OLLAMA GGUFqwen2 · 3.1B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
Global Score
78 vs 77
Hardware Fit
100 vs 100
Quality Score
68 vs 67
Hardware
lfm2-24b-a2b qwen2.5:3b
MachineMac miniNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M4 ProCortex-A78AE
Cores146
RAM64 GB7 GB
GPUApple M4 ProIntegrated / Unknown
OSmacOS 15.7.4Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen2.5:3b
Tokens/sec105.921.4
First chunk252 ms1006 ms
TTFT252 ms1.0 s
Load timeN/A6.4 s
Memory usage0.1 GB2.0 GB
Memory %0%27%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2.5:3b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
qwen2.5:3b
Reasoning
12/20
Coding
14/20
Instruction
11/20
Structured
15/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong 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