hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
lfm2.5:latest
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Jun 20, 2026 · AMD RYZEN AI MAX+ 395
Global Score
66 vs 79
Hardware Fit
100 vs 100
Quality Score
52 vs 70
Hardware
hf.co/empero-ai/Qw… lfm2.5:latest
MachineMacBook ProAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM16 GB125 GB
GPUApple M4Radeon 8060S
OSmacOS 26.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
hf.co/empero-ai/Qw… lfm2.5:latest
Tokens/sec26.5134.4
First chunk447 ms226 ms
TTFT447 ms226 ms
Load time3.3 s1.8 s
Memory usage4.8 GB6.9 GB
Memory %30%6%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
lfm2.5:latest
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
lfm2.5:latest
Reasoning
2/20
Coding
11/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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