Title: Gemma 3 1B It vs Gemma 3 12B It: Parametri, Licenca %E2%80%94 LLM EU
Canonical: https://llmeu.com/hr/compare/gemma-3-1b-it-vs-gemma-3-12b-it/
Markdown mirror: https://llmeu.com/hr/compare/gemma-3-1b-it-vs-gemma-3-12b-it.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Gemma 3 1B It vs Gemma 3 12B It

Stavite dva do %C4%8Detiri modela jedan pored drugoga na poljima koja odlu%C4%8Duju o implementaciji: kontekst, cijena, regija, licenca, jezici, hosting i %C5%A1to je verificirano.

Kada se dva modela razlikuju, ova tablica pokazuje razliku i tu staje. LLM EU ne objavljuje zna%C4%8Dku pobjednika bez dokumentiranog rezultata za taj zadatak, a brojka koja nedostaje ostaje nedostaju%C4%87a umjesto da postane nula.

## Kada ga koristiti

### [Gemma 3 1B It](/hr/models/gemma-3-1b-it/)

#### Prednosti

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 1B parameters it fits on a single accelerator
- instruction-tuned checkpoint with a chat template in the repository

#### Ograni%C4%8Denja

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 1B parameters, the weights fit on a single modest accelerator

#### Zadaci

[Vi%C5%A1ejezi%C4%8Dna podr%C5%A1ka](/hr/tasks/multilingual-support/), [Niska cijena](/hr/tasks/cheap/)

### [Gemma 3 12B It](/hr/models/gemma-3-12b-it/)

#### Prednosti

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- instruction-tuned checkpoint with a chat template in the repository

#### Ograni%C4%8Denja

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 12.2B parameters, self-hosting needs a single accelerator with enough memory for the weights
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model

#### Zadaci

[Vi%C5%A1ejezi%C4%8Dna podr%C5%A1ka](/hr/tasks/multilingual-support/), [Vizija](/hr/tasks/vision/), [Sa%C5%BEimanje](/hr/tasks/summarization/)

**Zadaci:** [Vi%C5%A1ejezi%C4%8Dna podr%C5%A1ka](/hr/tasks/multilingual-support/)

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