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qwen3:1.7b

OLLAMA GGUF

qwen3 · 2.0B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

Global Score
72 vs 81
Hardware Fit
92 vs 90
Quality Score
63 vs 77

Hardware

qwen3:1.7b gemma-4-e2b-it-qat
MachineAZW GTR ProDocker Container
CPUAMD RYZEN AI MAX+ 395Intel Gen Intel® Core™ i9-11900H
Cores3216
RAM125 GB15 GB
GPUAMD Radeon 8060STigerLake-H GT1 [UHD Graphics]
OSUbuntu 24.04.4 LTSUbuntu 26.04 LTS
Archx64x64
Power Modelow-powerperformance

Performance

qwen3:1.7b gemma-4-e2b-it-qat
Tokens/sec120.722.2
First chunk93 ms67 ms
TTFT1.5 s1.1 s
Load time2.5 s5.4 s
Memory usage5.8 GB0.0 GB
Memory %5%0%

HW Fit Score Breakdown

qwen3:1.7b

Speed
50/50
TTFT
12/20
Memory
30/30

gemma-4-e2b-it-qat

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

Quality

qwen3:1.7b

Reasoning
13/20
Coding
6/20
Instruction
13/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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

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