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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

unsloth/gemma-4-e2b-it@q8_0

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

Global Score
46 vs 75
Hardware Fit
61 vs 74
Quality Score
40 vs 76

Hardware

llama3.1:8b unsloth/gemma-4-e2…
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 unsloth/gemma-4-e2…
Tokens/sec7.813.0
First chunk1625 ms62 ms
TTFT1.6 s1.5 s
Load time21.8 s7.8 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

unsloth/gemma-4-e2b-it@…

Speed
24/50
TTFT
20/20
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

unsloth/gemma-4-e2b-it@…

Reasoning
11/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View llama3.1:8b details | View unsloth/gemma-4-e2… 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