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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
46 vs 77
Hardware Fit
61 vs 59
Quality Score
40 vs 84

Hardware

llama3.1:8b gemma-4-e4b-it@q5_…
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperDocker Container
CPUCortex-A78AEIntel Gen Intel® Core™ i9-11900H
Cores616
RAM7 GB15 GB
GPUIntegrated / UnknownTigerLake-H GT1 [UHD Graphics]
OSUbuntu 22.04.5 LTSUbuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

llama3.1:8b gemma-4-e4b-it@q5_…
Tokens/sec7.89.3
First chunk1625 ms51 ms
TTFT1.6 s3.4 s
Load time21.8 s12.2 s
Memory usage5.2 GB0.0 GB
Memory %71%0%

HW Fit Score Breakdown

llama3.1:8b

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

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

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

gemma-4-e4b-it@q5_k_xl

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View llama3.1:8b details | View gemma-4-e4b-it@q5_… 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