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hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
66 vs 80
Hardware Fit
100 vs 95
Quality Score
52 vs 73

Hardware

hf.co/empero-ai/Qw… lfm2.5:8b
MachineMacBook ProMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.6.1macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… lfm2.5:8b
Tokens/sec26.598.5
First chunk447 ms167 ms
TTFT447 ms2.5 s
Load time3.3 s3.0 s
Memory usage4.8 GB6.0 GB
Memory %30%37%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

Speed
50/50
TTFT
20/20
Memory
30/30

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

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

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest