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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

devstral:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
79 vs 80
Hardware Fit
81 vs 79
Quality Score
78 vs 80

Hardware

gemma-4-e2b-it@q5_… devstral:24b
MachineDocker ContainerGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i5-14400F
Cores1616
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 5060 Ti
OSUbuntu 26.04 LTSMicrosoft Windows 11 Professionnel 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e2b-it@q5_… devstral:24b
Tokens/sec17.220.2
First chunk7 ms137 ms
TTFT1.6 s137 ms
Load time8.9 s9.6 s
Memory usage0.0 GB14.2 GB
Memory %0%45%

HW Fit Score Breakdown

gemma-4-e2b-it@q5_k_xl

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

devstral:24b

Speed
33/50
TTFT
20/20
Memory
26/30

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

devstral:24b

Reasoning
16/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma-4-e2b-it@q5_… details | View devstral:24b 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