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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-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
66 vs 72
Hardware Fit
100 vs 89
Quality Score
52 vs 64

Hardware

hf.co/empero-ai/Qw… qwen3-vl:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M1 ProIntel Xeon® Gold 6230
Cores1080
RAM16 GB252 GB
GPUApple M1 ProTU104GL [Quadro RTX 5000]
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

hf.co/empero-ai/Qw… qwen3-vl:8b
Tokens/sec40.468.2
First chunk93 ms285 ms
TTFT93 ms2.0 s
Load time2.7 s42.4 s
Memory usage4.7 GB7.1 GB
Memory %30%3%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3-vl:8b

Speed
50/50
TTFT
9/20
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-vl:8b

Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong

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