Back to leaderboard

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

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

hf.co/unsloth/gemma-4-E4B-it-GGUF:Q4_K_M

OLLAMA GGUF

gemma4 · 7.52B · unknown

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
66 vs 87
Hardware Fit
100 vs 100
Quality Score
52 vs 82

Hardware

hf.co/empero-ai/Qw… hf.co/unsloth/gemm…
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… hf.co/unsloth/gemm…
Tokens/sec26.535.0
First chunk447 ms204 ms
TTFT447 ms204 ms
Load time3.3 s3.9 s
Memory usage4.8 GB4.9 GB
Memory %30%31%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

hf.co/unsloth/gemma-4-E…

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

hf.co/unsloth/gemma-4-E…

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View hf.co/empero-ai/Qw… details | View hf.co/unsloth/gemm… details

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