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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

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
59 vs 59
Hardware Fit
94 vs 84
Quality Score
44 vs 48

Hardware

text-embedding-nom… vicuna:13b
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… vicuna:13b
Tokens/sec45.313.4
First chunk2440 msN/A
TTFT2.4 s438 ms
Load timeN/A0.6 s
Memory usage0.0 GB10.3 GB
Memory %0%32%

HW Fit Score Breakdown

text-embedding-nomic-em…

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

vicuna:13b

Speed
24/50
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

vicuna:13b

Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View text-embedding-nom… details | View vicuna:13b 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