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qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

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

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
67 vs 83
Hardware Fit
51 vs 96
Quality Score
74 vs 78

Hardware

qwen2-57b:57B google/gemma-4-e4b
MachineGMKtec NucBox EVO-T2SASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ Ultra X7 358HAMD Ryzen 9 8940HX
Cores1632
RAM64 GB15 GB
GPUIntel(R) Arc(TM) B390 GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen2-57b:57B google/gemma-4-e4b
Tokens/sec8.635.9
First chunk1573 ms9 ms
TTFT1.6 s182 ms
Load time29.0 sN/A
Memory usage32.8 GB6.5 GB
Memory %52%43%

HW Fit Score Breakdown

qwen2-57b:57B

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

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

Quality

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

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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