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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Good

Jun 26, 2026 · Cortex-A78AE

Global Score
62 vs 60
Hardware Fit
77 vs 90
Quality Score
55 vs 47

Hardware

google/gemma-4-e4b deepseek-r1:1.5b
MachineLENOVO 82JQNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUAMD Ryzen 7 5800HCortex-A78AE
Cores166
RAM16 GB7 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntegrated / Unknown
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b deepseek-r1:1.5b
Tokens/sec27.634.6
First chunk23 ms5314 ms
TTFT480 ms5.3 s
Load timeN/A5.1 s
Memory usage13.2 GB1.1 GB
Memory %83%15%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

deepseek-r1:1.5b

Speed
50/50
TTFT
10/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

deepseek-r1:1.5b

Reasoning
11/20
Coding
6/20
Instruction
7/20
Structured
4/15
Math
14/15
Multilingual
5/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Weak

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