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 10% Compare

Global Score

89 /100

Excellent

Hardware Fit

99/100

Quality

85/100

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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: 60.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.6
First chunk latency Delay before the first streamed chunk arrives from runtime: 148 ms
Time to first token How fast the model starts responding — lower is better: 148 ms
Load time Time to load the model into memory before inference: 5.7 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: 1006

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

29/30

Quality

Reasoning

15/20

Coding

18/20

Instruction following

17/20

Structured output

15/15

Math

10/15

Multilingual

10/10

Category levels

Reasoning: Adequate 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: 22c100c2ef89e3f0167ac7e602ec789bcf453d4ca0713954812630d285be1683

Interpretation

Hardware fit: 99/100. Overall suitability: EXCELLENT (Global 89/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 13% (peak 18%)

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