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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

mlx-community/Yi-1.5-6B-Chat-4bit

LM-STUDIO GGUF

Good

Mar 5, 2026 · Apple M4

Global Score

76 vs 73

Hardware Fit

100 vs 100

Quality Score

66 vs 62

Hardware

hf.co/empero-ai/Qw… mlx-community/Yi-1…

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… mlx-community/Yi-1…

Tokens/sec40.329.1

First chunk101 ms451 ms

TTFT101 ms451 ms

Load time2.7 sN/A

Memory usage4.5 GB0.9 GB

Memory %28%3%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

Speed

50/50

TTFT

20/20

Memory

30/30

mlx-community/Yi-1.5-6B…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning

11/20

Coding

10/20

Instruction

12/20

Structured

15/15

Math

8/15

Multilingual

10/10

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

mlx-community/Yi-1.5-6B…

Reasoning

10/20

Coding

11/20

Instruction

13/20

Structured

13/15

Math

9/15

Multilingual

6/10

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

View hf.co/empero-ai/Qw… details | View mlx-community/Yi-1… 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