Qwen3.8-27B-Ridge-3.7bpw_empero.ai:latest

qwen35 · 27.3B · IQ2_M

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 53% Compare

Global Score

75 /100

Good

Hardware Fit

99/100

Quality

64/100

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Ollama

ollama pull Qwen3.8-27B-Ridge-3.7bpw_empero.ai:latest

View on Ollama Library

ollama.com/library/Qwen3.8-27B-Ridge-3.7bpw_empero.ai

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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: 60.3
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.8
First chunk latency Delay before the first streamed chunk arrives from runtime: 154 ms
Time to first token How fast the model starts responding — lower is better: 154 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: 11.0 GB (35%)
Total tokens Total number of tokens generated across all benchmark prompts: 1639

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

29/30

Quality

Reasoning

20/20

Coding

17/20

Instruction following

6/20

Structured output

1/15

Math

14/15

Multilingual

6/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.33.1
Model format: GGUF
Hardware profile: BALANCED
Result hash: d012d79a370ee2481949ae9f356fc3cd77b41baa0cc0a797410a2f7f4015cb96

Interpretation

Hardware fit: 99/100. Overall suitability: GOOD (Global 75/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Weak, Structured Output: Poor, Math: Strong, Multilingual: Adequate.

Bench Environment

CPU load: avg 11% (peak 12%)

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