mlx-community/quantized-gemma-2b-it
LM-STUDIO GGUFMar 5, 2026 · Apple M4
orcarouter/Qwen3.8-27B-Uncensored:iq4_xs
OLLAMA GGUFqwen35 · 27.3B · IQ4_XS
Sep 11, 2026 · Intel Core™ i5-10400
Global Score
45 vs 88
Hardware Fit
100 vs 69
Quality Score
21 vs 96
Hardware
mlx-community/quan… orcarouter/Qwen3.8…
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-10400
Cores1012
RAM32 GB16 GB
GPUApple M4Todesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080
OSmacOS 26.3Microsoft Windows 10 专业版 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/quan… orcarouter/Qwen3.8…
Tokens/sec44.439.5
First chunk336 ms220 ms
TTFT336 ms3.2 s
Load timeN/A13.7 s
Memory usage0.1 GB14.2 GB
Memory %0%89%
HW Fit Score Breakdown
mlx-community/quantized…
Speed
50/50
TTFT
20/20
Memory
30/30
orcarouter/Qwen3.8-27B-…
Speed
50/50
TTFT
14/20
Memory
5/30
Quality
mlx-community/quantized…
Reasoning
4/20
Coding
1/20
Instruction
9/20
Structured
4/15
Math
2/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Poor
orcarouter/Qwen3.8-27B-…
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