hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 26, 2026 · Apple M1 Pro
gemma-4-31b-it-qat
LM-STUDIO GGUFgemma4 · 31B · Q4_K_XL
Jul 7, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor
Global Score
66 vs 91
Hardware Fit
100 vs 89
Quality Score
52 vs 92
Hardware
hf.co/empero-ai/Qw… gemma-4-31b-it-qat
MachineMacBook ProASUS
CPUApple M1 ProAMD Ryzen 7 7800X3D 8-Core Processor
Cores1016
RAM16 GB31 GB
GPUApple M1 ProNVIDIA GeForce RTX 4090, Raphael
OSmacOS 26.6.2cachyos rolling
Archarm64x64
Power Modebalancedlow-power
Performance
hf.co/empero-ai/Qw… gemma-4-31b-it-qat
Tokens/sec40.240.2
First chunk101 ms3 ms
TTFT101 ms302 ms
Load time2.6 sN/A
Memory usage4.7 GB18.8 GB
Memory %30%62%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma-4-31b-it-qat
Speed
50/50
TTFT
20/20
Memory
19/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
gemma-4-31b-it-qat
Reasoning
19/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
14/15
Multilingual
9/10
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