Title: Llama Guard 3 8B vs Llama Guard 4 12B: Parametre %E2%80%94 LLM EU
Canonical: https://llmeu.com/sk/compare/llama-guard-3-8b-vs-llama-guard-4-12b/
Markdown mirror: https://llmeu.com/sk/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

Postavte dva a%C5%BE %C5%A1tyri modely ved%C4%BEa seba pod%C4%BEa pol%C3%AD, ktor%C3%A9 rozhoduj%C3%BA o nasaden%C3%AD: kontext, cena, regi%C3%B3n, licencia, jazyky, hos%C5%A5ovanie a %C4%8Do je overen%C3%A9.

Ak sa dva modely l%C3%AD%C5%A1ia, t%C3%A1to tabu%C4%BEka zobraz%C3%AD rozdiel a skon%C4%8D%C3%AD. LLM EU nezverej%C5%88uje odznak v%C3%AD%C5%A5aza bez zdokumentovan%C3%A9ho sk%C3%B3re pre dan%C3%BA %C3%BAlohu a ch%C3%BDbaj%C3%BAci %C3%BAdaj zost%C3%A1va ch%C3%BDbaj%C3%BAci, namiesto toho, aby sa stal nulou.

## Kedy ho pou%C5%BEi%C5%A5

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

#### Siln%C3%A9 str%C3%A1nky

- 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

#### Obmedzenia

- 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

#### %C3%9Alohy

[Citliv%C3%A9 %C3%BAdaje](/sk/tasks/private/), [Z%C3%A1kazn%C3%ADcka podpora](/sk/tasks/customer-support/)

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

#### Siln%C3%A9 str%C3%A1nky

- 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

#### Obmedzenia

- 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

#### %C3%9Alohy

[Citliv%C3%A9 %C3%BAdaje](/sk/tasks/private/), [Videnie](/sk/tasks/vision/), [Z%C3%A1kazn%C3%ADcka podpora](/sk/tasks/customer-support/)

**%C3%9Alohy:** [Citliv%C3%A9 %C3%BAdaje](/sk/tasks/private/), [Z%C3%A1kazn%C3%ADcka podpora](/sk/tasks/customer-support/)

## Porovna%C5%A5 modely

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