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hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

qwen3:1.7b

OLLAMA GGUF

qwen3 · 2.0B · Q4_K_M

Good

Oct 11, 2026 · AMD Ryzen 5 5500

Global Score
66 vs 79
Hardware Fit
100 vs 100
Quality Score
52 vs 70

Hardware

hf.co/empero-ai/Qw… qwen3:1.7b
MachineMacBook ProMicrosoft WSL
CPUApple M1 ProAMD Ryzen 5 5500
Cores1012
RAM16 GB8 GB
GPUApple M1 ProIntegrated / Unknown
OSmacOS 26.6.2Ubuntu 26.04.1 LTS
Archarm64x64
Power Modebalancedunknown

Performance

hf.co/empero-ai/Qw… qwen3:1.7b
Tokens/sec40.4188.0
First chunk93 ms108 ms
TTFT93 ms1.2 s
Load time2.7 s7.5 s
Memory usage4.7 GB1.6 GB
Memory %30%21%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

Speed
50/50
TTFT
20/20
Memory
30/30

qwen3:1.7b

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

qwen3:1.7b

Reasoning
16/20
Coding
7/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View hf.co/empero-ai/Qw… details | View qwen3:1.7b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest