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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

gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
83 vs 80
Hardware Fit
96 vs 100
Quality Score
78 vs 71

Hardware

google/gemma-4-e4b gemma-3-4b-it-q4-k-m
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMac Pro
CPUAMD Ryzen 9 8940HXIntel Core™ i5-10400
Cores3212
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MAMD Radeon RX 6700 XT
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.5.1
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma-3-4b-it-q4-k-m
Tokens/sec35.975.0
First chunk9 ms136 ms
TTFT182 ms136 ms
Load timeN/A0.0 s
Memory usage6.5 GB0.8 GB
Memory %43%3%

HW Fit Score Breakdown

google/gemma-4-e4b

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

gemma-3-4b-it-q4-k-m

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

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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