gemma4:e2b

OLLAMA GGUF

gemma4 · 5.1B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score

76 vs 59

Hardware Fit

82 vs 94

Quality Score

73 vs 44

Hardware

gemma4:e2b text-embedding-nom…

MachineLENOVO 20U30029MBMacBook Air

CPUIntel Core™ i5-10210UApple M4

Cores810

RAM15 GB32 GB

GPUCometLake-U GT2 [UHD Graphics]Apple M4

OSPop 24.04 LTSmacOS 26.3

Archx64arm64

Power Modeperformancebalanced

Performance

gemma4:e2b text-embedding-nom…

Tokens/sec13.545.3

First chunk1270 ms2440 ms

TTFT1.3 s2.4 s

Load time13.4 sN/A

Memory usage6.5 GB0.0 GB

Memory %42%0%

HW Fit Score Breakdown

gemma4:e2b

Speed

35/50

TTFT

20/20

Memory

27/30

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

Quality

gemma4:e2b

Reasoning

10/20

Coding

15/20

Instruction

16/20

Structured

15/15

Math

7/15

Multilingual

10/10

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