hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
gemma4:e4b
OLLAMA GGUFgemma4 · 8.0B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
Global Score
66 vs 87
Hardware Fit
100 vs 100
Quality Score
52 vs 81
Hardware
hf.co/empero-ai/Qw… gemma4:e4b
MachineMacBook ProGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M1 ProIntel Core™ i5-14400F
Cores1016
RAM16 GB32 GB
GPUApple M1 ProNVIDIA GeForce RTX 5060 Ti
OSmacOS 26.6.2Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… gemma4:e4b
Tokens/sec40.482.1
First chunk93 ms64 ms
TTFT93 ms64 ms
Load time2.7 s6.1 s
Memory usage4.7 GB3.0 GB
Memory %30%9%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:e4b
Speed
50/50
TTFT
20/20
Memory
30/30
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
gemma4:e4b
Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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