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gemma4:e2b

OLLAMA GGUF

gemma4 · 4.6B · Q4_K_M

Excellent

Oct 12, 2026 · AMD Ryzen 5 5500

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

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
93 vs 66
Hardware Fit
100 vs 100
Quality Score
90 vs 52

Hardware

gemma4:e2b hf.co/empero-ai/Qw…
MachineMicrosoft WSLMacBook Pro
CPUAMD Ryzen 5 5500Apple M4
Cores1210
RAM8 GB16 GB
GPUIntegrated / UnknownApple M4
OSUbuntu 26.04.1 LTSmacOS 26.6.1
Archx64arm64
Power Modeunknownbalanced

Performance

gemma4:e2b hf.co/empero-ai/Qw…
Tokens/sec141.226.5
First chunk94 ms447 ms
TTFT1.6 s447 ms
Load time18.4 s3.3 s
Memory usage0.2 GB4.8 GB
Memory %3%30%

HW Fit Score Breakdown

gemma4:e2b

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

hf.co/empero-ai/Qwen3.8…

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

Quality

gemma4:e2b

Reasoning
18/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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

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