rafw007/qwen3.8-27b-redteam:latest
OLLAMA GGUFqwen35 · 27.3B · Q4_K_M
Oct 2, 2026 · Cortex-X925
gemma-4-e2b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
59 vs 79
Hardware Fit
62 vs 81
Quality Score
58 vs 78
Hardware
rafw007/qwen3.8-27… gemma-4-e2b-it@q5_…
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… gemma-4-e2b-it@q5_…
Tokens/sec12.917.2
First chunk442 ms7 ms
TTFT442 ms1.6 s
Load time6.8 s8.9 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
gemma-4-e2b-it@q5_k_xl
Speed
32/50
TTFT
19/20
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
gemma-4-e2b-it@q5_k_xl
Reasoning
11/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate 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