llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

smollm2:135m

OLLAMA GGUF

llama · 134.52M · F16

Marginal

Mar 2, 2026 · Apple M4

Global Score

46 vs 41

Hardware Fit

61 vs 100

Quality Score

40 vs 15

Hardware

llama3.1:8b smollm2:135m

MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMacBook Air

CPUCortex-A78AEApple M4

Cores610

RAM7 GB32 GB

GPUIntegrated / UnknownApple M4

OSUbuntu 22.04.5 LTSmacOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

llama3.1:8b smollm2:135m

Tokens/sec7.8241.0

First chunk1625 msN/A

TTFT1.6 s39 ms

Load time21.8 s0.4 s

Memory usage5.2 GB0.6 GB

Memory %71%2%

HW Fit Score Breakdown

llama3.1:8b

Speed

26/50

TTFT

20/20

Memory

15/30

smollm2:135m

Speed

40/50

TTFT

30/20

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

smollm2:135m

Reasoning

4/20

Coding

1/20

Instruction

6/20

Structured

2/15

Math

1/15

Multilingual

1/10

Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

View llama3.1:8b details | View smollm2:135m 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