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qwen3-1.7b

LM-STUDIO GGUF

qwen3 · 1.7B · Q4_K_M

Not Rec.

Mar 7, 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
19 vs 62
Hardware Fit
64 vs 77
Quality Score
0 vs 55

Hardware

qwen3-1.7b 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

qwen3-1.7b google/gemma-4-e4b
Tokens/sec5.927.6
First chunk2111 ms23 ms
TTFT2.1 s480 ms
Load timeN/AN/A
Memory usage1.2 GB13.2 GB
Memory %8%83%

HW Fit Score Breakdown

qwen3-1.7b

Speed
21/50
TTFT
19/20
Memory
24/30

google/gemma-4-e4b

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

Quality

qwen3-1.7b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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 qwen3-1.7b 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