qwen3-coder:30b-a3b-q8_0

qwen3moe · 30.5B · Q8_0

HP HP Pavilion Laptop 15-eh1xxx (AMD Ryzen 5 5500U)

63 GB · Microsoft Windows 10 Enterprise LTSC 10.0.19044

Tested on June 18, 2026 · Submitted by Telemok

Top 32% Compare

Global Score

78 /100

Good

Hardware Fit

54/100

Quality

88/100

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Ollama

ollama pull qwen3-coder:30b-a3b-q8_0

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ollama.com/library/qwen3-coder

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GGUF versions & quantizations

Hardware

Machine: HP HP Pavilion Laptop 15-eh1xxx
CPU: AMD Ryzen 5 5500U
Cores: 12 total (12 perf)
Frequency: 2.1 GHz
RAM: 63 GB DDR4
GPU: AMD Radeon(TM) Graphics
OS: Microsoft Windows 10 Enterprise LTSC 10.0.19044
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 8.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 1.5 s
Time to first token How fast the model starts responding — lower is better: 1.5 s
Load time Time to load the model into memory before inference: 114.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 33.5 GB (53%)
Total tokens Total number of tokens generated across all benchmark prompts: 971

Score breakdown

Speed

11/50

Time to first token

19/20

Memory

24/30

Quality

Reasoning

17/20

Coding

19/20

Instruction following

16/20

Structured output

15/15

Math

11/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.8
Model format: GGUF
Hardware profile: BALANCED
Result hash: 9bfbdabbcbb8a6ee7f38a98a3a243a408edc08fed5f79a1f0210d5eaef7ff56e

Interpretation

Hardware fit: 54/100. Overall suitability: GOOD (Global 78/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Thermal: moderate Power: AC CPU load: avg 55% (peak 63%)

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$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest