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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
46 vs 68
Hardware Fit
61 vs 93
Quality Score
40 vs 57

Hardware

llama3.1:8b google/gemma-4-e4b
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperLENOVO 82JQ
CPUCortex-A78AEAMD Ryzen 7 5800H
Cores616
RAM7 GB16 GB
GPUIntegrated / UnknownNVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 22.04.5 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

llama3.1:8b google/gemma-4-e4b
Tokens/sec7.826.2
First chunk1625 ms17 ms
TTFT1.6 s572 ms
Load time21.8 sN/A
Memory usage5.2 GB6.5 GB
Memory %71%41%

HW Fit Score Breakdown

llama3.1:8b

Speed
26/50
TTFT
20/20
Memory
15/30

google/gemma-4-e4b

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

Quality

llama3.1:8b

Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor 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 llama3.1:8b details | View google/gemma-4-e4b 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