Title: Llama Guard 3 8B vs Llama Guard 4 12B: Parametri %E2%80%94 LLM EU
Canonical: https://llmeu.com/hr/compare/llama-guard-3-8b-vs-llama-guard-4-12b/
Markdown mirror: https://llmeu.com/hr/compare/llama-guard-3-8b-vs-llama-guard-4-12b.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Llama Guard 3 8B vs Llama Guard 4 12B

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

### [Llama Guard 3 8B](/hr/models/llama-guard-3-8b/)

#### Prednosti

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 8B parameters it fits on a single accelerator
- the model page lists en
- 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 8B parameters, the weights fit on a single modest accelerator
- a classifier, not a chat model: it labels prompts and responses against a safety taxonomy instead of answering them

#### Zadaci

[Osjetljivi podaci](/hr/tasks/private/), [Korisni%C4%8Dka podr%C5%A1ka](/hr/tasks/customer-support/)

### [Llama Guard 4 12B](/hr/models/llama-guard-4-12b/)

#### Prednosti

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 12B parameters it fits on a single accelerator
- the model page lists en
- 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 llama4 (other) licence is a custom agreement whose commercial terms were not established from its published text, so commercial serving is not permitted until a human clears it; the router must not route to it
- the published configuration records no context window, so the card carries none
- at 12B 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
- a classifier, not a chat model: it labels prompts and responses against a safety taxonomy instead of answering them

#### Zadaci

[Osjetljivi podaci](/hr/tasks/private/), [Vizija](/hr/tasks/vision/), [Korisni%C4%8Dka podr%C5%A1ka](/hr/tasks/customer-support/)

**Zadaci:** [Osjetljivi podaci](/hr/tasks/private/), [Korisni%C4%8Dka podr%C5%A1ka](/hr/tasks/customer-support/)

## Usporedi modele

- [Aya Expanse 8B vs Llama Guard 3 8B](/hr/compare/aya-expanse-8b-vs-llama-guard-3-8b/)
- [Gemma 3 12B It vs Llama Guard 4 12B](/hr/compare/gemma-3-12b-it-vs-llama-guard-4-12b/)
- [Gemma 4 12B It vs Llama Guard 4 12B](/hr/compare/gemma-4-12b-it-vs-llama-guard-4-12b/)
- [Gemma 4 E4B IT vs Llama Guard 4 12B](/hr/compare/gemma-4-e4b-it-vs-llama-guard-4-12b/)
- [GLM 4.1V 9B Thinking vs Llama Guard 4 12B](/hr/compare/glm-4-1v-9b-thinking-vs-llama-guard-4-12b/)
- [GLM 4.6V Flash vs Llama Guard 4 12B](/hr/compare/glm-4-6v-flash-vs-llama-guard-4-12b/)