text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16
OLLAMA GGUFllama · 2.99B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
59 vs 76
Hardware Fit
94 vs 92
Quality Score
44 vs 69
Hardware
text-embedding-nom… hf.co/bartowski/ai…
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/bartowski/ai…
Tokens/sec45.329.9
First chunk2440 ms105 ms
TTFT2.4 s105 ms
Load timeN/A3.4 s
Memory usage0.0 GB8.9 GB
Memory %0%56%
HW Fit Score Breakdown
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
hf.co/bartowski/ai9star…
Speed
50/50
TTFT
20/20
Memory
22/30
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/bartowski/ai9star…
Reasoning
11/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest