lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q8_0
Apr 26, 2026 · AMD Ryzen 5 5500
Global Score
18 vs 81
Hardware Fit
59 vs 100
Quality Score
0 vs 73
Hardware
lfm2-24b-a2b llama-3.1-8b-instr…
MachineMac miniASUS
CPUApple M4 ProAMD Ryzen 5 5500
Cores1412
RAM64 GB31 GB
GPUApple M4 ProNavi 44 [Radeon RX 9060 XT]
OSmacOS 15.7.4Nobara Linux 43
Archarm64x64
Power Modebalancedperformance
Performance
lfm2-24b-a2b llama-3.1-8b-instr…
Tokens/sec6.635.6
First chunk1025 ms52 ms
TTFT1.0 s256 ms
Load timeN/AN/A
Memory usage0.0 GB8.6 GB
Memory %0%28%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
llama-3.1-8b-instruct
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
llama-3.1-8b-instruct
Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
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