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gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

Global Score
79 vs 85
Hardware Fit
81 vs 77
Quality Score
78 vs 88

Hardware

gemma-4-e2b-it@q5_… qwen3.8:27b-bf16
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

gemma-4-e2b-it@q5_… qwen3.8:27b-bf16
Tokens/sec17.227.2
First chunk7 ms237 ms
TTFT1.6 s237 ms
Load time8.9 s43.8 s
Memory usage0.0 GB68.8 GB
Memory %0%7%

HW Fit Score Breakdown

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
Memory
30/30

qwen3.8:27b-bf16

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

Quality

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

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
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
View gemma-4-e2b-it@q5_… details | View qwen3.8:27b-bf16 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