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smollm2:1.7b

OLLAMA GGUF

llama · 1.7B · Q8_0

Good

Mar 2, 2026 · Apple M4

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
64 vs 62
Hardware Fit
100 vs 77
Quality Score
49 vs 55

Hardware

smollm2:1.7b google/gemma-4-e4b
MachineMacBook AirLENOVO 82JQ
CPUApple M4AMD Ryzen 7 5800H
Cores1016
RAM32 GB16 GB
GPUApple M4NVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.3Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

smollm2:1.7b google/gemma-4-e4b
Tokens/sec51.827.6
First chunkN/A23 ms
TTFT84 ms480 ms
Load time0.4 sN/A
Memory usage3.7 GB13.2 GB
Memory %12%83%

HW Fit Score Breakdown

smollm2:1.7b

Speed
40/50
TTFT
30/20
Memory
30/30

google/gemma-4-e4b

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

Quality

smollm2:1.7b

Reasoning
7/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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 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