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Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
90 vs 81
Hardware Fit
97 vs 100
Quality Score
87 vs 73

Hardware

Qwen3.8-27B-UD-Q3_… gemma3n:latest
MachineSupermicro AS -2015HS-TNR
CPUIntel Gen Intel® Core™ i5-12600KAMD EPYC 9654P 96-Core Processor
Cores1664
RAM31 GB128 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]GH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSUbuntu 24.04.4 LTSUbuntu 24.04.3 LTS
Archx64x64
Power Modelow-powerperformance

Performance

Qwen3.8-27B-UD-Q3_… gemma3n:latest
Tokens/sec39.0108.7
First chunk305 ms333 ms
TTFT305 ms333 ms
Load time0.0 s4.5 s
Memory usage12.5 GB8.6 GB
Memory %41%7%

HW Fit Score Breakdown

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

gemma3n:latest

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest