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gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

lmstudio-community/gemma-4-e4b-it

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

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

Global Score
78 vs 76
Hardware Fit
72 vs 67
Quality Score
81 vs 80

Hardware

gemma4:e4b-mlx lmstudio-community…
MachineMacBook ProDocker Container
CPUApple M2 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M2 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

gemma4:e4b-mlx lmstudio-community…
Tokens/sec26.910.8
First chunk222 ms44 ms
TTFT222 ms2.0 s
Load time0.1 s10.9 s
Memory usage15.4 GB0.0 GB
Memory %96%0%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

lmstudio-community/gemm…

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

Quality

gemma4:e4b-mlx

Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

lmstudio-community/gemm…

Reasoning
14/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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