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

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

Global Score

76 vs 78

Hardware Fit

92 vs 68

Quality Score

69 vs 82

Hardware

hf.co/bartowski/ai… google/gemma-4-e4b…

MachineMacBook ProDocker Container

CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H

Cores1016

RAM16 GB15 GB

GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]

OSmacOS 26.6.2Ubuntu 26.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

hf.co/bartowski/ai… google/gemma-4-e4b…

Tokens/sec29.911.4

First chunk105 ms26 ms

TTFT105 ms2.2 s

Load time3.4 s5.9 s

Memory usage8.9 GB0.0 GB

Memory %56%0%

HW Fit Score Breakdown

hf.co/bartowski/ai9star…

Speed

50/50

TTFT

20/20

Memory

22/30

google/gemma-4-e4b-it-qat

Speed

21/50

TTFT

17/20

Memory

30/30

Quality

hf.co/bartowski/ai9star…

Reasoning

11/20

Coding

13/20

Instruction

12/20

Structured

15/15

Math

10/15

Multilingual

8/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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

View hf.co/bartowski/ai… details | View google/gemma-4-e4b… 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