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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score
66 vs 90
Hardware Fit
100 vs 96
Quality Score
52 vs 87

Hardware

hf.co/empero-ai/Qw… qwen3-coder:30b
MachineMacBook ProASUS
CPUApple M1 ProIntel Core™ Ultra 9 285K
Cores1024
RAM16 GB47 GB
GPUApple M1 ProNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.6.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… qwen3-coder:30b
Tokens/sec40.2207.9
First chunk101 ms513 ms
TTFT101 ms513 ms
Load time2.6 s4.9 s
Memory usage4.7 GB20.5 GB
Memory %30%43%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3-coder:30b

Speed
50/50
TTFT
20/20
Memory
26/30

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-coder:30b

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View hf.co/empero-ai/Qw… details | View qwen3-coder:30b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest