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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

Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Aug 24, 2026 · Intel Core™ Ultra X7 358H

Global Score
78 vs 82
Hardware Fit
68 vs 59
Quality Score
82 vs 92

Hardware

google/gemma-4-e4b… Qwen3-80B:80B
MachineDocker ContainerGMKtec NucBox EVO-T2S
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ Ultra X7 358H
Cores1616
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Intel(R) Arc(TM) B390 GPU
OSUbuntu 26.04 LTSMicrosoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

google/gemma-4-e4b… Qwen3-80B:80B
Tokens/sec11.419.6
First chunk26 ms823 ms
TTFT2.2 s823 ms
Load time5.9 s41.6 s
Memory usage0.0 GB46.9 GB
Memory %0%74%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

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

Qwen3-80B:80B

Speed
26/50
TTFT
20/20
Memory
13/30

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

Qwen3-80B:80B

Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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