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gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

Global Score
81 vs 90
Hardware Fit
90 vs 97
Quality Score
77 vs 87

Hardware

gemma-4-e2b-it-qat Qwen3.8-27B-UD-Q3_…
MachineDocker Container—
CPUIntel Gen Intel® Core™ i9-11900HIntel Gen Intel® Core™ i5-12600K
Cores1616
RAM15 GB31 GB
GPUTigerLake-H GT1 [UHD Graphics]AlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSUbuntu 26.04 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modeperformancelow-power

Performance

gemma-4-e2b-it-qat Qwen3.8-27B-UD-Q3_…
Tokens/sec22.239.0
First chunk67 ms305 ms
TTFT1.1 s305 ms
Load time5.4 s0.0 s
Memory usage0.0 GB12.5 GB
Memory %0%41%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

Speed
40/50
TTFT
20/20
Memory
30/30

Qwen3.8-27B-UD-Q3_K_XL

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

Quality

gemma-4-e2b-it-qat

Reasoning
10/20
Coding
17/20
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

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e2b-it-qat details | View Qwen3.8-27B-UD-Q3_… 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