hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
66 vs 88
Hardware Fit
100 vs 70
Quality Score
52 vs 96
Hardware
hf.co/empero-ai/Qw… qwen3.8-27b-fable-…
MachineMacBook ProMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM16 GB128 GB
GPUApple M4Apple M4 Max
OSmacOS 26.6.1macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… qwen3.8-27b-fable-…
Tokens/sec26.530.4
First chunk447 ms27 ms
TTFT447 ms4.4 s
Load time3.3 sN/A
Memory usage4.8 GB19.9 GB
Memory %30%16%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest