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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ Ultra X7 358H

Global Score
68 vs 67
Hardware Fit
93 vs 51
Quality Score
57 vs 74

Hardware

google/gemma-4-e4b qwen2-57b:57B
MachineLENOVO 82JQGMKtec NucBox EVO-T2S
CPUAMD Ryzen 7 5800HIntel Core™ Ultra X7 358H
Cores1616
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntel(R) Arc(TM) B390 GPU
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen2-57b:57B
Tokens/sec26.28.6
First chunk17 ms1573 ms
TTFT572 ms1.6 s
Load timeN/A29.0 s
Memory usage6.5 GB32.8 GB
Memory %41%52%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

qwen2-57b:57B

Speed
10/50
TTFT
17/20
Memory
24/30

Quality

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

qwen2-57b:57B

Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen2-57b:57B details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest