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smollm2-1.7b-instruct

LM-STUDIO GGUF

llama · 1.7B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

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

Hardware

smollm2-1.7b-instr… google/gemma-4-e4b
MachineLENOVO 20BUS00700LENOVO 82JQ
CPUIntel Core™ i5-5300UAMD Ryzen 7 5800H
Cores416
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

smollm2-1.7b-instr… google/gemma-4-e4b
Tokens/sec6.627.6
First chunk3184 ms23 ms
TTFT3.2 s480 ms
Load timeN/AN/A
Memory usage1.0 GB13.2 GB
Memory %6%83%

HW Fit Score Breakdown

smollm2-1.7b-instruct

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

google/gemma-4-e4b

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

Quality

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

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
View smollm2-1.7b-instr… details | View google/gemma-4-e4b details

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