lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
mistral:latest
OLLAMA GGUFllama · 7.2B · Q4_0
Feb 28, 2026 · Apple M4 Pro
Global Score
78 vs 72
Hardware Fit
100 vs 100
Quality Score
68 vs 60
Hardware
lfm2-24b-a2b mistral:latest
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 Modebalancedunknown
Performance
lfm2-24b-a2b mistral:latest
Tokens/sec105.954.3
First chunk252 msN/A
TTFT252 ms124 ms
Load timeN/A0.0 s
Memory usage0.1 GB9.9 GB
Memory %0%15%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
mistral:latest
Speed
40/50
TTFT
30/20
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
mistral:latest
Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
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