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qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score
65 vs 59
Hardware Fit
92 vs 94
Quality Score
54 vs 44

Hardware

qwen2.5:1.5b text-embedding-nom…
MachineiMacMacBook Air
CPUIntel Core™ i7-4771Apple M4
Cores810
RAM32 GB32 GB
GPUNVIDIA GeForce GTX 780MApple M4
OSmacOS 15.7.3macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:1.5b text-embedding-nom…
Tokens/sec19.645.3
First chunk690 ms2440 ms
TTFT690 ms2.4 s
Load time21.4 sN/A
Memory usage1.0 GB0.0 GB
Memory %3%0%

HW Fit Score Breakdown

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

text-embedding-nomic-em…

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

Quality

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

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

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