qwen3.8-27b-uncensored-hauhaucs-aggressive-mtp

qwen35 · 27B

System manufacturer (AMD Ryzen 7 5800X 8-Core Processor)

31 GB · Ubuntu 26.04.1 LTS

Tested on September 20, 2026

Top 38% Compare

Global Score

81 /100

Excellent

Hardware Fit

64/100

Quality

88/100

Get this model

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

MLX versions & conversions

Hardware

Machine: System manufacturer
CPU: AMD Ryzen 7 5800X 8-Core Processor
Cores: 16 threads (8 cores)
Frequency: 3.8 GHz
RAM: 31 GB
GPU: Navi 44 [Radeon RX 9060 XT]
OS: Ubuntu 26.04.1 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 11.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.7
First chunk latency Delay before the first streamed chunk arrives from runtime: 50 ms
Time to first token How fast the model starts responding — lower is better: 1.1 s
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 15.8 GB (51%)
Total tokens Total number of tokens generated across all benchmark prompts: 1220

Score breakdown

Speed

19/50

Time to first token

20/20

Memory

25/30

Quality

Reasoning

17/20

Coding

19/20

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: LM Studio
Model format: GGUF
Hardware profile: BALANCED
Result hash: 952bb8d6ef718e768d0b644a88ef27482c4d16fed830e84870f1173886cdb1c5

Interpretation

Hardware fit: 64/100. Overall suitability: EXCELLENT (Global 81/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Warnings

Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.

Bench Environment

Thermal: nominal CPU load: avg 5% (peak 5%)

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