qwen3.8-27b-fable-fusion-f711-gain-mlx

LM-STUDIO MLX

qwen3_5 · 27B · MXFP4

Excellent

Aug 20, 2026 · Apple M4 Max

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

Global Score

88 vs 65

Hardware Fit

70 vs 94

Quality Score

96 vs 52

Hardware

qwen3.8-27b-fable-… hf.co/bartowski/ai…

MachineMacBook ProMacBook Pro

CPUApple M4 MaxApple M1 Pro

Cores1610

RAM128 GB16 GB

GPUApple M4 MaxApple M1 Pro

OSmacOS 26.5.2macOS 26.6.2

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.8-27b-fable-… hf.co/bartowski/ai…

Tokens/sec30.429.6

First chunk27 ms264 ms

TTFT4.4 s264 ms

Load timeN/A3.8 s

Memory usage19.9 GB8.4 GB

Memory %16%53%

HW Fit Score Breakdown

qwen3.8-27b-fable-fusio…

Speed

34/50

TTFT

6/20

Memory

30/30

hf.co/bartowski/ai9star…

Speed

50/50

TTFT

20/20

Memory

24/30

Quality

qwen3.8-27b-fable-fusio…

Reasoning

19/20

Coding

19/20

Instruction

18/20

Structured

15/15

Math

15/15

Multilingual

10/10

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

hf.co/bartowski/ai9star…

Reasoning

17/20

Coding

14/20

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 qwen3.8-27b-fable-… details | View hf.co/bartowski/ai… 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