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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

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
19 vs 81
Hardware Fit
64 vs 90
Quality Score
0 vs 77

Hardware

qwen3-1.7b gemma-4-e2b-it-qat
MachineLENOVO 20BUS00700Docker Container
CPUIntel Core™ i5-5300UIntel Gen Intel® Core™ i9-11900H
Cores416
RAM16 GB15 GB
GPUIntel(R) HD Graphics 5500TigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen3-1.7b gemma-4-e2b-it-qat
Tokens/sec5.922.2
First chunk2111 ms67 ms
TTFT2.1 s1.1 s
Load timeN/A5.4 s
Memory usage1.2 GB0.0 GB
Memory %8%0%

HW Fit Score Breakdown

qwen3-1.7b

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

gemma-4-e2b-it-qat

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

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

gemma-4-e2b-it-qat

Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3-1.7b details | View gemma-4-e2b-it-qat 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