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google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
59 vs 68
Hardware Fit
62 vs 100
Quality Score
58 vs 54

Hardware

google/gemma-4-e4b qwen2.5-coder:1.5b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMLENOVO 20U30029MB
CPUAMD Ryzen 7 4800HIntel Core™ i5-10210U
Cores168
RAM15 GB15 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUCometLake-U GT2 [UHD Graphics]
OSMicrosoft Windows 11 Pro 10.0.26200Pop 24.04 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b qwen2.5-coder:1.5b
Tokens/sec7.121.8
First chunk41 ms499 ms
TTFT1.2 s499 ms
Load time71.7 s4.4 s
Memory usage0.9 GB1.5 GB
Memory %6%10%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen2.5-coder:1.5b

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

Quality

google/gemma-4-e4b

Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen2.5-coder:1.5b

Reasoning
8/20
Coding
11/20
Instruction
13/20
Structured
11/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5-coder: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