hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score

66 vs 59

Hardware Fit

100 vs 94

Quality Score

52 vs 44

Hardware

hf.co/empero-ai/Qw… text-embedding-nom…

MachineMacBook ProMacBook Air

CPUApple M1 ProApple M4

Cores1010

RAM16 GB32 GB

GPUApple M1 ProApple M4

OSmacOS 26.6.2macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… text-embedding-nom…

Tokens/sec40.245.3

First chunk101 ms2440 ms

TTFT101 ms2.4 s

Load time2.6 sN/A

Memory usage4.7 GB0.0 GB

Memory %30%0%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

Speed

50/50

TTFT

20/20

Memory

30/30

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning

15/20

Coding

9/20

Instruction

8/20

Structured

1/15

Math

15/15

Multilingual

4/10

Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

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

View hf.co/empero-ai/Qw… details | View text-embedding-nom… 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