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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

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
79 vs 81
Hardware Fit
81 vs 100
Quality Score
78 vs 73

Hardware

gemma-4-e2b-it@q5_… llama-3.1-8b-instr…
MachineDocker ContainerASUS
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 5 5500
Cores1612
RAM15 GB31 GB
GPUTigerLake-H GT1 [UHD Graphics]Navi 44 [Radeon RX 9060 XT]
OSUbuntu 26.04 LTSNobara Linux 43
Archx64x64
Power Modeperformanceperformance

Performance

gemma-4-e2b-it@q5_… llama-3.1-8b-instr…
Tokens/sec17.235.6
First chunk7 ms52 ms
TTFT1.6 s256 ms
Load time8.9 sN/A
Memory usage0.0 GB8.6 GB
Memory %0%28%

HW Fit Score Breakdown

gemma-4-e2b-it@q5_k_xl

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

llama-3.1-8b-instruct

Speed
50/50
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

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View gemma-4-e2b-it@q5_… details | View llama-3.1-8b-instr… 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