lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
18 vs 72
Hardware Fit
59 vs 77
Quality Score
0 vs 70
Hardware
lfm2-24b-a2b llama3.1:8b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M1 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M1 Pro
OSmacOS 15.7.4macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b llama3.1:8b
Tokens/sec6.621.5
First chunk1025 ms368 ms
TTFT1.0 s368 ms
Load timeN/A6.9 s
Memory usage0.0 GB12.9 GB
Memory %0%81%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
llama3.1:8b
Speed
47/50
TTFT
20/20
Memory
10/30
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
llama3.1:8b
Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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