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gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
77 vs 65
Hardware Fit
59 vs 92
Quality Score
84 vs 54

Hardware

gemma-4-e4b-it@q5_… qwen2.5:1.5b
MachineDocker ContaineriMac
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i7-4771
Cores168
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce GTX 780M
OSUbuntu 26.04 LTSmacOS 15.7.3
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… qwen2.5:1.5b
Tokens/sec9.319.6
First chunk51 ms690 ms
TTFT3.4 s690 ms
Load time12.2 s21.4 s
Memory usage0.0 GB1.0 GB
Memory %0%3%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

Quality

gemma-4-e4b-it@q5_k_xl

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
View gemma-4-e4b-it@q5_… details | View qwen2.5:1.5b 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