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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

unsloth/gemma-4-26b-a4b-it

LM-STUDIO GGUF

gemma4 · 26B · Q3_K_M

Excellent

Apr 5, 2026 · Apple M4

Global Score

59 vs 84

Hardware Fit

94 vs 64

Quality Score

44 vs 92

Hardware

text-embedding-nom… unsloth/gemma-4-26…

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB24 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

text-embedding-nom… unsloth/gemma-4-26…

Tokens/sec45.316.5

First chunk2440 ms32 ms

TTFT2.4 s2.2 s

Load timeN/AN/A

Memory usage0.0 GB19.3 GB

Memory %0%80%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

unsloth/gemma-4-26b-a4b…

Speed

36/50

TTFT

18/20

Memory

10/30

Quality

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

unsloth/gemma-4-26b-a4b…

Reasoning

18/20

Coding

19/20

Instruction

17/20

Structured

14/15

Math

14/15

Multilingual

10/10

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

View text-embedding-nom… details | View unsloth/gemma-4-26… 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