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google/gemma-4-12b-it-qat

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
74 vs 89
Hardware Fit
46 vs 88
Quality Score
86 vs 89

Hardware

google/gemma-4-12b… qwen3.8:27b-q8_0
MachineDocker ContainerDell Inc. PowerEdge XE8545
CPUIntel Gen Intel® Core™ i9-11900HAMD EPYC 7713 64-Core Processor
Cores16128
RAM15 GB1007 GB
GPUTigerLake-H GT1 [UHD Graphics]GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSUbuntu 26.04 LTSRocky Linux 8.10
Archx64x64
Power Modeperformanceunknown

Performance

google/gemma-4-12b… qwen3.8:27b-q8_0
Tokens/sec5.040.0
First chunk64 ms177 ms
TTFT5.5 s177 ms
Load time9.5 s24.7 s
Memory usage0.0 GB51.0 GB
Memory %0%5%

HW Fit Score Breakdown

google/gemma-4-12b-it-qat

Speed
9/50
TTFT
7/20
Memory
30/30

qwen3.8:27b-q8_0

Speed
38/50
TTFT
20/20
Memory
30/30

Quality

google/gemma-4-12b-it-qat

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.8:27b-q8_0

Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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