hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
qwen3.5:4b
OLLAMA GGUFqwen35 · 4.7B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-6500
Global Score
66 vs 61
Hardware Fit
100 vs 69
Quality Score
52 vs 58
Hardware
hf.co/empero-ai/Qw… qwen3.5:4b
MachineMacBook ProGigabyte Technology Co., Ltd. H170M-D3H
CPUApple M1 ProIntel Core™ i5-6500
Cores104
RAM16 GB16 GB
GPUApple M1 ProGP104 [GeForce GTX 1070]
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
hf.co/empero-ai/Qw… qwen3.5:4b
Tokens/sec40.235.7
First chunk325 ms438 ms
TTFT325 ms5.1 s
Load time3.1 s40.1 s
Memory usage4.7 GB5.5 GB
Memory %30%35%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:4b
Speed
50/50
TTFT
11/20
Memory
8/30
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
qwen3.5:4b
Reasoning
18/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate 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