rafw007/qwen3.8-27b-redteam:latest
OLLAMA GGUFqwen35 · 27.3B · Q4_K_M
Oct 2, 2026 · Cortex-X925
google/gemma-4-12b-it-qat
LM-STUDIO GGUFgemma4 · 12B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
59 vs 74
Hardware Fit
62 vs 46
Quality Score
58 vs 86
Hardware
rafw007/qwen3.8-27… google/gemma-4-12b…
MachineNVIDIA NVIDIA_DGX_SparkDocker Container
CPUCortex-X925Intel Gen Intel® Core™ i9-11900H
Cores2016
RAM122 GB15 GB
GPUDevice 2e12TigerLake-H GT1 [UHD Graphics]
OSUbuntu 24.04.5 LTSUbuntu 26.04 LTS
Archarm64x64
Power Modeperformanceperformance
Performance
rafw007/qwen3.8-27… google/gemma-4-12b…
Tokens/sec12.95.0
First chunk442 ms64 ms
TTFT442 ms5.5 s
Load time6.8 s9.5 s
Memory usage19.3 GB0.0 GB
Memory %16%0%
HW Fit Score Breakdown
rafw007/qwen3.8-27b-red…
Speed
12/50
TTFT
20/20
Memory
30/30
google/gemma-4-12b-it-qat
Speed
9/50
TTFT
7/20
Memory
30/30
Quality
rafw007/qwen3.8-27b-red…
Reasoning
18/20
Coding
15/20
Instruction
7/20
Structured
1/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest