lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
mlx-community/stablelm-2-zephyr-1_6b-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
18 vs 50
Hardware Fit
59 vs 100
Quality Score
0 vs 29
Hardware
lfm2-24b-a2b mlx-community/stab…
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/stab…
Tokens/sec6.693.6
First chunk1025 ms166 ms
TTFT1.0 s166 ms
Load timeN/AN/A
Memory usage0.0 GB0.7 GB
Memory %0%2%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
mlx-community/stablelm-…
Speed
50/50
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
mlx-community/stablelm-…
Reasoning
7/20
Coding
2/20
Instruction
9/20
Structured
3/15
Math
4/15
Multilingual
4/10
Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Weak
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