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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

Global Score

59 vs 66

Hardware Fit

94 vs 100

Quality Score

44 vs 52

Hardware

text-embedding-nom… hf.co/empero-ai/Qw…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M1 Pro

Cores1010

RAM32 GB16 GB

GPUApple M4Apple M1 Pro

OSmacOS 26.3macOS 26.6.2

Archarm64arm64

Power Modebalancedbalanced

Performance

text-embedding-nom… hf.co/empero-ai/Qw…

Tokens/sec45.340.4

First chunk2440 ms93 ms

TTFT2.4 s93 ms

Load timeN/A2.7 s

Memory usage0.0 GB4.7 GB

Memory %0%30%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

hf.co/empero-ai/Qwen3.8…

Speed

50/50

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

hf.co/empero-ai/Qwen3.8…

Reasoning

15/20

Coding

9/20

Instruction

8/20

Structured

1/15

Math

15/15

Multilingual

4/10

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

View text-embedding-nom… details | View hf.co/empero-ai/Qw… 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