lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
hermes3:8b
OLLAMA GGUFllama · 8.0B · Q4_0
Mar 6, 2026 · Apple M4
Global Score
78 vs 74
Hardware Fit
100 vs 94
Quality Score
68 vs 65
Hardware
lfm2-24b-a2b hermes3:8b
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 hermes3:8b
Tokens/sec105.922.3
First chunk252 ms296 ms
TTFT252 ms296 ms
Load timeN/A0.8 s
Memory usage0.1 GB10.2 GB
Memory %0%32%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
hermes3:8b
Speed
44/50
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
hermes3:8b
Reasoning
11/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
5/15
Multilingual
10/10
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