lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
mlx-community/Llama-3.2-3B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
78 vs 74
Hardware Fit
100 vs 100
Quality Score
68 vs 63
Hardware
lfm2-24b-a2b mlx-community/Llam…
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b mlx-community/Llam…
Tokens/sec105.950.6
First chunk252 ms257 ms
TTFT252 ms257 ms
Load timeN/AN/A
Memory usage0.1 GB0.7 GB
Memory %0%2%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
mlx-community/Llama-3.2…
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
mlx-community/Llama-3.2…
Reasoning
9/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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