Qwen3.8-27B-UD-IQ4_XS_unsloth:latest

qwen35 · 27.3B · IQ4_XS

Micro-Star International Co., Ltd. MS-7E51 (AMD Ryzen 7 9700X 8-Core Processor)

31 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on August 27, 2026

Top 39% Compare

Global Score

80 /100

Excellent

Hardware Fit

60/100

Quality

89/100

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Ollama

ollama pull Qwen3.8-27B-UD-IQ4_XS_unsloth:latest

View on Ollama Library

ollama.com/library/Qwen3.8-27B-UD-IQ4_XS_unsloth

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GGUF versions & quantizations

Hardware

Machine: Micro-Star International Co., Ltd. MS-7E51
CPU: AMD Ryzen 7 9700X 8-Core Processor
Cores: 16 total (16 perf)
Frequency: 3.8 GHz
RAM: 31 GB DDR5
GPU: NVIDIA GeForce RTX 5080, AMD Radeon(TM) Graphics
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 10.8
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: 891 ms
Time to first token How fast the model starts responding — lower is better: 891 ms
Load time Time to load the model into memory before inference: 0.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 17.6 GB (57%)
Total tokens Total number of tokens generated across all benchmark prompts: 1078

Score breakdown

Speed

18/50

Time to first token

20/20

Memory

22/30

Quality

Reasoning

17/20

Coding

18/20

Instruction following

18/20

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 0.33.1
Model format: GGUF
Hardware profile: BALANCED
Result hash: 17fa2eb80fad1fa6d3ba9b27ec0b0c1d433a587f946af279ba9c62de6cd5f99a

Interpretation

Hardware fit: 60/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 48% (peak 56%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest