gemma4:e2b

OLLAMA GGUF

gemma4 · 5.1B · Q4_K_M

Excellent

Apr 3, 2026 · AMD RYZEN AI MAX+ 395

text-embedding-nomic-embed-text-v1.5

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score

83 vs 59

Hardware Fit

100 vs 94

Quality Score

76 vs 44

Hardware

gemma4:e2b text-embedding-nom…

MachineAZW GTR ProMacBook Air

CPUAMD RYZEN AI MAX+ 395Apple M4

Cores3210

RAM125 GB32 GB

GPURadeon 8060SApple M4

OSUbuntu 24.04.4 LTSmacOS 26.3

Archx64arm64

Power Modeperformancebalanced

Performance

gemma4:e2b text-embedding-nom…

Tokens/sec88.145.3

First chunk193 ms2440 ms

TTFT193 ms2.4 s

Load time2.7 sN/A

Memory usage11.2 GB0.0 GB

Memory %9%0%

HW Fit Score Breakdown

gemma4:e2b

Speed

50/50

TTFT

20/20

Memory

30/30

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

Quality

gemma4:e2b

Reasoning

12/20

Coding

16/20

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

text-embedding-nomic-em…

Reasoning

10/20

Coding

3/20

Instruction

11/20

Structured

12/15

Math

3/15

Multilingual

5/10

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

View gemma4:e2b details | View text-embedding-nom… 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