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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

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Global Score
59 vs 70
Hardware Fit
62 vs 100
Quality Score
58 vs 57

Hardware

google/gemma-4-e4b qwen2.5:1.5b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Air
CPUAMD Ryzen 7 4800HApple M4
Cores1610
RAM15 GB32 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen2.5:1.5b
Tokens/sec7.184.1
First chunk41 msN/A
TTFT1.2 s119 ms
Load time71.7 s0.5 s
Memory usage0.9 GB2.6 GB
Memory %6%8%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen2.5:1.5b

Speed
40/50
TTFT
30/20
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

qwen2.5:1.5b

Reasoning
8/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5:1.5b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest