qwen3:1.7b

qwen3 · 2.0B · Q4_K_M

THINKING MODEL ECO MODE

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on March 5, 2026

Top 39% Compare

Global Score

72 /100

Good

Hardware Fit

92/100

Quality

63/100

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Ollama

ollama pull qwen3:1.7b

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ollama.com/library/qwen3

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GGUF versions & quantizations

Hardware

Machine: AZW GTR Pro
CPU: AMD RYZEN AI MAX+ 395
Cores: 32 threads (16 cores)
Frequency: 3 GHz
RAM: 125 GB
GPU: AMD Radeon 8060S
OS: Ubuntu 24.04.4 LTS
Arch: x64
Power Mode: low-power

Performance

Tokens/sec Tokens generated per second — higher is better: 120.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 93 ms
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: 2.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 5.8 GB (5%)
Total tokens Total number of tokens generated across all benchmark prompts: 1416
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~942

Score breakdown

Speed

50/50

Time to first token

12/20

Memory

30/30

Quality

Reasoning

13/20

Coding

6/20

Instruction following

13/20

Structured output

14/15

Math

7/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: HIGH-END
Result hash: c7caca48b7927d200e97739b86a82b9d75bd0591080b9f6e5ef47379bd37160f

Interpretation

Hardware fit: 92/100. Overall suitability: GOOD (Global 72/100). Category profile: Reasoning: Adequate, Coding: Weak, Instruction Following: Adequate, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Warnings

System was in low-power mode during this benchmark.
CPU appears throttled (2.2 GHz current vs 3.0 GHz nominal, 73%).

Bench Environment

Thermal: nominal CPU load: avg 4% (peak 4%)

Run yours now

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$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest