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hermes3:8b

OLLAMA GGUF

llama · 8.0B · Q4_0

Good

Mar 6, 2026 · Apple M4

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
74 vs 68
Hardware Fit
94 vs 93
Quality Score
65 vs 57

Hardware

hermes3:8b google/gemma-4-e4b
MachineMacBook AirLENOVO 82JQ
CPUApple M4AMD Ryzen 7 5800H
Cores1016
RAM32 GB16 GB
GPUApple M4NVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.3Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

hermes3:8b google/gemma-4-e4b
Tokens/sec22.326.2
First chunk296 ms17 ms
TTFT296 ms572 ms
Load time0.8 sN/A
Memory usage10.2 GB6.5 GB
Memory %32%41%

HW Fit Score Breakdown

hermes3:8b

Speed
44/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

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

Quality

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

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

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest