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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
62 vs 78
Hardware Fit
77 vs 68
Quality Score
55 vs 82

Hardware

google/gemma-4-e4b google/gemma-4-e4b…
MachineLENOVO 82JQDocker Container
CPUAMD Ryzen 7 5800HIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM16 GB15 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b google/gemma-4-e4b…
Tokens/sec27.611.4
First chunk23 ms26 ms
TTFT480 ms2.2 s
Load timeN/A5.9 s
Memory usage13.2 GB0.0 GB
Memory %83%0%

HW Fit Score Breakdown

google/gemma-4-e4b

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

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
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

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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