text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
orcarouter/Qwen3.8-27B-Uncensored:iq4_xs
OLLAMA GGUFqwen35 · 27.3B · IQ4_XS
Sep 11, 2026 · Intel Core™ i5-10400
Global Score
59 vs 88
Hardware Fit
94 vs 69
Quality Score
44 vs 96
Hardware
text-embedding-nom… orcarouter/Qwen3.8…
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-10400
Cores1012
RAM32 GB16 GB
GPUApple M4Todesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080
OSmacOS 26.3Microsoft Windows 10 专业版 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
text-embedding-nom… orcarouter/Qwen3.8…
Tokens/sec45.339.5
First chunk2440 ms220 ms
TTFT2.4 s3.2 s
Load timeN/A13.7 s
Memory usage0.0 GB14.2 GB
Memory %0%89%
HW Fit Score Breakdown
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
orcarouter/Qwen3.8-27B-…
Speed
50/50
TTFT
14/20
Memory
5/30
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
orcarouter/Qwen3.8-27B-…
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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