rafw007/qwen3.8-27b-redteam:latest

qwen35 · 27.3B · Q4_K_M

NVIDIA NVIDIA_DGX_Spark (Cortex-X925)

122 GB · Ubuntu 24.04.5 LTS

Tested on October 2, 2026 · Submitted by Tram

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Global Score

59 /100

Marginal

Hardware Fit

62/100

Quality

58/100

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Ollama

ollama pull rafw007/qwen3.8-27b-redteam:latest

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ollama.com/library/rafw007/qwen3.8-27b-redteam

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GGUF versions & quantizations

Hardware

Machine: NVIDIA NVIDIA_DGX_Spark
CPU: Cortex-X925
Cores: 20 total (20 perf)
Frequency: 3.35 GHz
RAM: 122 GB
GPU: Device 2e12
OS: Ubuntu 24.04.5 LTS
Arch: arm64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 12.9
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: 442 ms
Time to first token How fast the model starts responding — lower is better: 442 ms
Load time Time to load the model into memory before inference: 6.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 19.3 GB (16%)
Total tokens Total number of tokens generated across all benchmark prompts: 2198

Score breakdown

Speed

12/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

18/20

Coding

15/20

Instruction following

7/20

Structured output

1/15

Math

14/15

Multilingual

3/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.35.0
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 8edab8aab1400db62a5443075f5be6cd37088efb0879ce6cfa3694b8f41e0426

Interpretation

Hardware fit: 62/100. Overall suitability: MARGINAL (Global 59/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Weak, Structured Output: Poor, Math: Strong, Multilingual: Weak.

Bench Environment

Thermal: nominal CPU load: avg 13% (peak 19%)

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