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rafw007/qwen3.8-27b-redteam:latest

OLLAMA GGUF

qwen35 · 27.3B · Q4_K_M

Marginal

Oct 2, 2026 · Cortex-X925

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

Global Score
59 vs 78
Hardware Fit
62 vs 68
Quality Score
58 vs 82

Hardware

rafw007/qwen3.8-27… google/gemma-4-e4b…
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-e4b…
Tokens/sec12.911.4
First chunk442 ms26 ms
TTFT442 ms2.2 s
Load time6.8 s5.9 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

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
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-e4b-it-qat

Reasoning
14/20
Coding
18/20
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
View rafw007/qwen3.8-27… details | View google/gemma-4-e4b… details

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