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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

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
83 vs 66
Hardware Fit
96 vs 100
Quality Score
78 vs 52

Hardware

google/gemma-4-e4b hf.co/empero-ai/Qw…
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Pro
CPUAMD Ryzen 9 8940HXApple M4
Cores3210
RAM15 GB16 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M4
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b hf.co/empero-ai/Qw…
Tokens/sec35.926.5
First chunk9 ms447 ms
TTFT182 ms447 ms
Load timeN/A3.3 s
Memory usage6.5 GB4.8 GB
Memory %43%30%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

hf.co/empero-ai/Qwen3.8…

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

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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