qwen3:30b-a3b-instruct-2507-q4_K_M

qwen3moe · 30.5B · Q4_K_M

Dell Inc. Precision Tower 7910 (Intel Xeon® E5-2637 v3)

96 GB · Microsoft Windows 10 Pro 10.0.19045

Tested on July 29, 2026 · Submitted by Csaba

Top 25% Compare

Global Score

83 /100

Excellent

Hardware Fit

66/100

Quality

90/100

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ollama pull qwen3:30b-a3b-instruct-2507-q4_K_M

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GGUF versions & quantizations

Hardware

Machine: Dell Inc. Precision Tower 7910
CPU: Intel Xeon® E5-2637 v3
Cores: 16 total (16 perf)
Frequency: 3.5 GHz
RAM: 96 GB DDR4
GPU: NVIDIA GeForce RTX 5060 Ti
OS: Microsoft Windows 10 Pro 10.0.19045
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 17.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.9
First chunk latency Delay before the first streamed chunk arrives from runtime: 1.2 s
Time to first token How fast the model starts responding — lower is better: 1.2 s
Load time Time to load the model into memory before inference: 20.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 20.6 GB (21%)
Total tokens Total number of tokens generated across all benchmark prompts: 972

Score breakdown

Speed

19/50

Time to first token

17/20

Memory

30/30

Quality

Reasoning

18/20

Coding

19/20

Instruction following

15/20

Structured output

15/15

Math

13/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.1
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 6992c65e6f81ec1299825870b6f06e4441fd551013b3366f0f1760288c37e191

Interpretation

Hardware fit: 66/100. Overall suitability: EXCELLENT (Global 83/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

CPU load: avg 26% (peak 39%)

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