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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

smollm2-1.7b-instruct

LM-STUDIO GGUF

llama · 1.7B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
62 vs 48
Hardware Fit
77 vs 63
Quality Score
55 vs 41

Hardware

google/gemma-4-e4b smollm2-1.7b-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 smollm2-1.7b-instr…
Tokens/sec27.66.6
First chunk23 ms3184 ms
TTFT480 ms3.2 s
Load timeN/AN/A
Memory usage13.2 GB1.0 GB
Memory %83%6%

HW Fit Score Breakdown

google/gemma-4-e4b

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

smollm2-1.7b-instruct

Speed
23/50
TTFT
15/20
Memory
25/30

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

smollm2-1.7b-instruct

Reasoning
5/20
Coding
7/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
View google/gemma-4-e4b details | View smollm2-1.7b-instr… details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest