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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:32b

OLLAMA GGUF

qwen2 · 32.8B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
59 vs 78
Hardware Fit
62 vs 59
Quality Score
58 vs 86

Hardware

google/gemma-4-e4b qwen2.5-coder:32b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMNVIDIA NVIDIA_DGX_Spark
CPUAMD Ryzen 7 4800HCortex-X925
Cores1620
RAM15 GB122 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUDevice 2e12
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen2.5-coder:32b
Tokens/sec7.19.5
First chunk41 ms394 ms
TTFT1.2 s395 ms
Load time71.7 s72.1 s
Memory usage0.9 GB26.5 GB
Memory %6%22%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen2.5-coder:32b

Speed
9/50
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:32b

Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5-coder:32b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest