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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

aya:8b

OLLAMA GGUF

command-r · 8.0B · F16

Good

Mar 1, 2026 · Apple M4

Global Score
59 vs 66
Hardware Fit
94 vs 92
Quality Score
44 vs 55

Hardware

text-embedding-nom… aya:8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

text-embedding-nom… aya:8b
Tokens/sec45.320.0
First chunk2440 msN/A
TTFT2.4 s300 ms
Load timeN/A0.9 s
Memory usage0.0 GB6.0 GB
Memory %0%19%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed
40/50
TTFT
25/20
Memory
29/30

aya:8b

Speed
32/50
TTFT
30/20
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

aya:8b

Reasoning
10/20
Coding
6/20
Instruction
13/20
Structured
15/15
Math
2/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

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