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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

smollm2-360m-instruct

LM-STUDIO GGUF

llama · 360M · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
62 vs 48
Hardware Fit
77 vs 98
Quality Score
55 vs 26

Hardware

google/gemma-4-e4b smollm2-360m-instr…
MachineLENOVO 82JQLENOVO 20BUS00700
CPUAMD Ryzen 7 5800HIntel Core™ i5-5300U
Cores164
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntel(R) HD Graphics 5500
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b smollm2-360m-instr…
Tokens/sec27.620.0
First chunk23 ms1116 ms
TTFT480 ms1.1 s
Load timeN/AN/A
Memory usage13.2 GB0.3 GB
Memory %83%2%

HW Fit Score Breakdown

google/gemma-4-e4b

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

smollm2-360m-instruct

Speed
50/50
TTFT
20/20
Memory
28/30

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

smollm2-360m-instruct

Reasoning
3/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
3/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Poor 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