google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

Global Score

59 vs 73

Hardware Fit

62 vs 100

Quality Score

58 vs 62

Hardware

google/gemma-4-e4b mistral:latest

MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMicro-Star International Co., Ltd. MS-7B79

CPUAMD Ryzen 7 4800HAMD Ryzen 5 2600X Six-Core Processor

Cores1612

RAM15 GB16 GB

GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce GTX 1080

OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Famille 10.0.26200

Archx64x64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b mistral:latest

Tokens/sec7.131.7

First chunk41 ms102 ms

TTFT1.2 s102 ms

Load time71.7 s14.3 s

Memory usage0.9 GB4.8 GB

Memory %6%30%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

mistral:latest

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

google/gemma-4-e4b

Reasoning

6/20

Coding

14/20

Instruction

12/20

Structured

15/15

Math

3/15

Multilingual

8/10

Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

mistral:latest

Reasoning

8/20

Coding

13/20

Instruction

16/20

Structured

12/15

Math

5/15

Multilingual

8/10

Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

View google/gemma-4-e4b details | View mistral:latest 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