mlx-community/gemma-3-4b-it-qat-4bit

LM-STUDIO GGUF

Excellent

Mar 5, 2026 · Apple M4

lmstudio-community/gemma-4-e2b-it

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

Global Score

80 vs 77

Hardware Fit

100 vs 75

Quality Score

71 vs 78

Hardware

mlx-community/gemm… lmstudio-community…

MachineMacBook AirDocker Container

CPUApple M4Intel Gen Intel® Core™ i9-11900H

Cores1016

RAM32 GB15 GB

GPUApple M4TigerLake-H GT1 [UHD Graphics]

OSmacOS 26.3Ubuntu 26.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

mlx-community/gemm… lmstudio-community…

Tokens/sec43.213.3

First chunk428 ms18 ms

TTFT428 ms1.4 s

Load timeN/A8.1 s

Memory usage1.3 GB0.0 GB

Memory %4%0%

HW Fit Score Breakdown

mlx-community/gemma-3-4…

Speed

50/50

TTFT

20/20

Memory

30/30

lmstudio-community/gemm…

Speed

25/50

TTFT

20/20

Memory

30/30

Quality

mlx-community/gemma-3-4…

Reasoning

9/20

Coding

17/20

Instruction

17/20

Structured

13/15

Math

5/15

Multilingual

10/10

Reasoning: Weak Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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 mlx-community/gemm… 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