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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

unsloth/gemma-4-e2b-it@q8_0

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

Global Score

59 vs 75

Hardware Fit

94 vs 74

Quality Score

44 vs 76

Hardware

text-embedding-nom… unsloth/gemma-4-e2…

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

text-embedding-nom… unsloth/gemma-4-e2…

Tokens/sec45.313.0

First chunk2440 ms62 ms

TTFT2.4 s1.5 s

Load timeN/A7.8 s

Memory usage0.0 GB0.0 GB

Memory %0%0%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

unsloth/gemma-4-e2b-it@…

Speed

24/50

TTFT

20/20

Memory

30/30

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-e2b-it@…

Reasoning

11/20

Coding

16/20

Instruction

16/20

Structured

15/15

Math

8/15

Multilingual

10/10

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

View text-embedding-nom… details | View unsloth/gemma-4-e2… 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