hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
gemma3n:latest
OLLAMA GGUFgemma3n · 6.9B · Q4_K_M
Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor
Global Score
76 vs 81
Hardware Fit
100 vs 100
Quality Score
66 vs 73
Hardware
hf.co/empero-ai/Qw… gemma3n:latest
MachineMacBook ProSupermicro AS -2015HS-TNR
CPUApple M1 ProAMD EPYC 9654P 96-Core Processor
Cores1064
RAM16 GB128 GB
GPUApple M1 ProGH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSmacOS 26.6.2Ubuntu 24.04.3 LTS
Archarm64x64
Power Modebalancedperformance
Performance
hf.co/empero-ai/Qw… gemma3n:latest
Tokens/sec40.3108.7
First chunk101 ms333 ms
TTFT101 ms333 ms
Load time2.7 s4.5 s
Memory usage4.5 GB8.6 GB
Memory %28%7%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma3n:latest
Speed
50/50
TTFT
20/20
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
gemma3n:latest
Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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