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google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

lmstudio-community/gemma-4-e2b-it

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

Global Score
78 vs 77
Hardware Fit
68 vs 75
Quality Score
82 vs 78

Hardware

google/gemma-4-e4b… lmstudio-community…
MachineDocker ContainerDocker Container
CPUIntel Gen Intel® Core™ i9-11900HIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM15 GB15 GB
GPUTigerLake-H GT1 [UHD Graphics]TigerLake-H GT1 [UHD Graphics]
OSUbuntu 26.04 LTSUbuntu 26.04 LTS
Archx64x64
Power Modeperformanceperformance

Performance

google/gemma-4-e4b… lmstudio-community…
Tokens/sec11.413.3
First chunk26 ms18 ms
TTFT2.2 s1.4 s
Load time5.9 s8.1 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

lmstudio-community/gemm…

Speed
25/50
TTFT
20/20
Memory
30/30

Quality

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

lmstudio-community/gemm…

Reasoning
12/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b… details | View lmstudio-community… details

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