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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

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

Global Score
81 vs 64
Hardware Fit
90 vs 92
Quality Score
77 vs 52

Hardware

gemma-4-e2b-it-qat hf.co/bartowski/ai…
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced

Performance

gemma-4-e2b-it-qat hf.co/bartowski/ai…
Tokens/sec22.229.9
First chunk67 ms100 ms
TTFT1.1 s100 ms
Load time5.4 s3.4 s
Memory usage0.0 GB8.9 GB
Memory %0%56%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
22/30

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

hf.co/bartowski/ai9star…

Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
View gemma-4-e2b-it-qat details | View hf.co/bartowski/ai… details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest