qwen3.8:27b-bf16

qwen35 · 27.3B · BF16

Dell Inc. PowerEdge XE8545 (AMD EPYC 7713 64-Core Processor)

1007 GB · Rocky Linux 8.10

Tested on August 22, 2026 · Submitted by AhmedCoolProjects

Top 23% Compare

Global Score

85 /100

Excellent

Hardware Fit

77/100

Quality

88/100

Get this model

🦙

Ollama

ollama pull qwen3.8:27b-bf16

View on Ollama Library

ollama.com/library/qwen3.8

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: Dell Inc. PowerEdge XE8545
CPU: AMD EPYC 7713 64-Core Processor
Cores: 128 total (128 perf)
Frequency: 2 GHz
RAM: 1007 GB
GPU: GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OS: Rocky Linux 8.10
Arch: x64

Performance

Tokens/sec Tokens generated per second — higher is better: 27.2
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: 237 ms
Time to first token How fast the model starts responding — lower is better: 237 ms
Load time Time to load the model into memory before inference: 43.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 68.8 GB (7%)
Total tokens Total number of tokens generated across all benchmark prompts: 1073

Score breakdown

Speed

27/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

18/20

Coding

18/20

Instruction following

16/20

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 0.32.15
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 95b6906525833dd803cd66f32663ab053c4aa9739e7dd17cc96515bef5aed418

Interpretation

Hardware fit: 77/100. Overall suitability: EXCELLENT (Global 85/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Warnings

CPU appears throttled (0.0 GHz current vs 2.0 GHz nominal, 0%).

Bench Environment

Thermal: nominal CPU load: avg 24% (peak 30%)

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