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qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
65 vs 68
Hardware Fit
92 vs 93
Quality Score
54 vs 57

Hardware

qwen2.5:1.5b google/gemma-4-e4b
MachineiMacLENOVO 82JQ
CPUIntel Core™ i7-4771AMD Ryzen 7 5800H
Cores816
RAM32 GB16 GB
GPUNVIDIA GeForce GTX 780MNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 15.7.3Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5:1.5b google/gemma-4-e4b
Tokens/sec19.626.2
First chunk690 ms17 ms
TTFT690 ms572 ms
Load time21.4 sN/A
Memory usage1.0 GB6.5 GB
Memory %3%41%

HW Fit Score Breakdown

qwen2.5:1.5b

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

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

Quality

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

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
View qwen2.5:1.5b 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