hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
gemma4:26b
OLLAMA GGUFgemma4 · 25.2B · Q4_K_M
Oct 2, 2026 · AMD Ryzen 9 5950X 16-Core Processor
Global Score
76 vs 84
Hardware Fit
100 vs 80
Quality Score
66 vs 86
Hardware
hf.co/empero-ai/Qw… gemma4:26b
MachineMacBook ProSystem manufacturer
CPUApple M1 ProAMD Ryzen 9 5950X 16-Core Processor
Cores1032
RAM16 GB32 GB
GPUApple M1 ProNVIDIA GeForce RTX 3090
OSmacOS 26.6.2Microsoft Windows 11 Pro 10.0.26300
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… gemma4:26b
Tokens/sec40.3147.6
First chunk101 ms139 ms
TTFT101 ms30.0 s
Load time2.7 s21.3 s
Memory usage4.5 GB1.7 GB
Memory %28%5%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:26b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
gemma4:26b
Reasoning
17/20
Coding
14/20
Instruction
18/20
Structured
15/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate 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