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

LM-STUDIO GGUF

Good

Mar 5, 2026 · Apple M4

richardyoung/qwythos-9b-abliterated:Q8_0

OLLAMA GGUF

qwen35 · 9.0B · Q8_0

Good

Jun 28, 2026 · Apple M4 Pro

Global Score

73 vs 65

Hardware Fit

100 vs 96

Quality Score

62 vs 52

Hardware

mlx-community/Yi-1… richardyoung/qwyth…

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1012

RAM32 GB24 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.6.1

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/Yi-1… richardyoung/qwyth…

Tokens/sec29.125.3

First chunk451 ms397 ms

TTFT451 ms397 ms

Load timeN/A6.3 s

Memory usage0.9 GB8.3 GB

Memory %3%34%

HW Fit Score Breakdown

mlx-community/Yi-1.5-6B…

Speed

50/50

TTFT

20/20

Memory

30/30

richardyoung/qwythos-9b…

Speed

47/50

TTFT

20/20

Memory

29/30

Quality

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

richardyoung/qwythos-9b…

Reasoning

18/20

Coding

13/20

Instruction

6/20

Structured

0/15

Math

14/15

Multilingual

1/10

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

View mlx-community/Yi-1… details | View richardyoung/qwyth… 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