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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Oct 11, 2026 · AMD Ryzen 5 5500

Global Score
76 vs 74
Hardware Fit
100 vs 100
Quality Score
66 vs 63

Hardware

hf.co/empero-ai/Qw… qwen3:0.6b
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… qwen3:0.6b
Tokens/sec40.3257.7
First chunk101 ms92 ms
TTFT101 ms675 ms
Load time2.7 s4.7 s
Memory usage4.5 GB0.9 GB
Memory %28%11%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3:0.6b

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

qwen3:0.6b

Reasoning
13/20
Coding
6/20
Instruction
12/20
Structured
13/15
Math
12/15
Multilingual
7/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Adequate
View hf.co/empero-ai/Qw… details | View qwen3:0.6b 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