qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
lfm2:24b
OLLAMA GGUFlfm2moe · 23.8B · Q4_K_M
Mar 27, 2026 · AMD RYZEN AI MAX+ 395
Global Score
36 vs 88
Hardware Fit
100 vs 100
Quality Score
8 vs 83
Hardware
qwen36-distill-apex lfm2:24b
MachineMacBook ProAZW GTR Pro
CPUApple M5 MaxAMD RYZEN AI MAX+ 395
Cores1832
RAM64 GB125 GB
GPUApple M5 MaxRadeon 8060S
OSmacOS 27.0Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen36-distill-apex lfm2:24b
Tokens/sec55.295.4
First chunk210 ms202 ms
TTFT210 ms202 ms
Load time4.8 s5.0 s
Memory usage0.9 GB14.3 GB
Memory %2%12%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
lfm2:24b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
lfm2:24b
Reasoning
14/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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