google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

hermes3:8b

OLLAMA GGUF

llama · 8.0B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score

59 vs 74

Hardware Fit

62 vs 94

Quality Score

58 vs 65

Hardware

google/gemma-4-e4b hermes3:8b

MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Air

CPUAMD Ryzen 7 4800HApple M4

Cores1610

RAM15 GB32 GB

GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M4

OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b hermes3:8b

Tokens/sec7.122.3

First chunk41 ms296 ms

TTFT1.2 s296 ms

Load time71.7 s0.8 s

Memory usage0.9 GB10.2 GB

Memory %6%32%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

hermes3:8b

Speed

44/50

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

hermes3:8b

Reasoning

11/20

Coding

10/20

Instruction

14/20

Structured

15/15

Math

5/15

Multilingual

10/10

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

View google/gemma-4-e4b details | View hermes3:8b details

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$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest