text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
gemma4:26b
OLLAMA GGUFgemma4 · 25.8B · Q4_K_M
Apr 3, 2026 · Apple M4
Global Score
59 vs 33
Hardware Fit
94 vs 50
Quality Score
44 vs 25
Hardware
text-embedding-nom… gemma4:26b
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… gemma4:26b
Tokens/sec45.320.0
First chunk2440 ms941 ms
TTFT2.4 s30.0 s
Load timeN/A0.2 s
Memory usage0.0 GB20.3 GB
Memory %0%85%
HW Fit Score Breakdown
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
gemma4:26b
Speed
42/50
TTFT
0/20
Memory
8/30
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
gemma4:26b
Reasoning
14/20
Coding
1/20
Instruction
6/20
Structured
3/15
Math
0/15
Multilingual
1/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest