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google/gemma-4-12b-it-qat

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

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

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
74 vs 68
Hardware Fit
46 vs 93
Quality Score
86 vs 57

Hardware

google/gemma-4-12b… google/gemma-4-e4b
MachineDocker ContainerLENOVO 82JQ
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 7 5800H
Cores1616
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 26.04 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modeperformancebalanced

Performance

google/gemma-4-12b… google/gemma-4-e4b
Tokens/sec5.026.2
First chunk64 ms17 ms
TTFT5.5 s572 ms
Load time9.5 sN/A
Memory usage0.0 GB6.5 GB
Memory %0%41%

HW Fit Score Breakdown

google/gemma-4-12b-it-qat

Speed
9/50
TTFT
7/20
Memory
30/30

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

Quality

google/gemma-4-12b-it-qat

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak 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