richardyoung/qwythos-9b-abliterated:Q8_0

OLLAMA GGUF

qwen35 · 9.0B · Q8_0

Good

Jun 28, 2026 · Apple M4 Pro

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

65 vs 77

Hardware Fit

96 vs 100

Quality Score

52 vs 67

Hardware

richardyoung/qwyth… mlx-community/meta…

MachineMac miniMac mini

CPUApple M4 ProApple M4 Pro

Cores1214

RAM24 GB64 GB

GPUApple M4 ProApple M4 Pro

OSmacOS 15.6.1macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

richardyoung/qwyth… mlx-community/meta…

Tokens/sec25.354.3

First chunk397 ms277 ms

TTFT397 ms277 ms

Load time6.3 sN/A

Memory usage8.3 GB4.2 GB

Memory %34%7%

HW Fit Score Breakdown

richardyoung/qwythos-9b…

Speed

47/50

TTFT

20/20

Memory

29/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

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

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

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

View richardyoung/qwyth… details | View mlx-community/meta… 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