Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gptoss · 20.9B · MXFP4

OLLAMA GGUF

gptoss · 20.9 · MXFP4

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
62 vs 84
Hardware Fit
77 vs 69
Quality Score
55 vs 91

Hardware

google/gemma-4-e4b gptoss · 20.9B · M…
MachineLENOVO 82JQMac Pro
CPUAMD Ryzen 7 5800HIntel Core™ i5-10400
Cores1612
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUAMD Radeon RX 6700 XT
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.5.1
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gptoss · 20.9B · M…
Tokens/sec27.617.5
First chunk23 ms643 ms
TTFT480 ms7.7 s
Load timeN/A0.0 s
Memory usage13.2 GB0.8 GB
Memory %83%3%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

gptoss · 20.9B · MXFP4

Speed
34/50
TTFT
5/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

gptoss · 20.9B · MXFP4

Reasoning
19/20
Coding
19/20
Instruction
13/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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