Title: Llama 3.2 1B Instruct vs Llama 3.2 11B Vision Instruct %E2%80%94 LLM EU
Canonical: https://llmeu.com/fr/compare/llama-3-2-1b-instruct-vs-llama-3-2-11b-vision-instruct/
Markdown mirror: https://llmeu.com/fr/compare/llama-3-2-1b-instruct-vs-llama-3-2-11b-vision-instruct.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Llama 3.2 1B Instruct vs Llama 3.2 11B Vision Instruct

Placez deux %C3%A0 quatre mod%C3%A8les c%C3%B4te %C3%A0 c%C3%B4te sur les champs qui d%C3%A9cident un d%C3%A9ploiement : contexte, prix, r%C3%A9gion, licence, langues, h%C3%A9bergement et ce qui est v%C3%A9rifi%C3%A9.

Lorsque deux mod%C3%A8les diff%C3%A8rent, ce tableau montre la diff%C3%A9rence et s'arr%C3%AAte l%C3%A0. LLM EU ne publie aucun badge de gagnant sans score document%C3%A9 pour cette t%C3%A2che, et une valeur manquante reste manquante au lieu de devenir un z%C3%A9ro.

## Quand l'utiliser

### [Llama 3.2 1B Instruct](/fr/models/llama-3-2-1b-instruct/)

#### Points forts

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 1.2B parameters it fits on a single accelerator
- the model page lists 6 languages the European Union publishes in, including en, de, fr, it
- instruction-tuned checkpoint with a chat template in the repository

#### Limites

- 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 1.2B parameters, the weights fit on a single modest accelerator

#### T%C3%A2ches

[Faible co%C3%BBt](/fr/tasks/cheap/), [Support multilingue](/fr/tasks/multilingual-support/), [R%C3%A9sum%C3%A9s](/fr/tasks/summarization/)

### [Llama 3.2 11B Vision Instruct](/fr/models/llama-3-2-11b-vision-instruct/)

#### Points forts

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 10.7B parameters it fits on a single accelerator
- the model page lists 6 languages the European Union publishes in, including en, de, fr, it
- instruction-tuned checkpoint with a chat template in the repository

#### Limites

- 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 10.7B 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

#### T%C3%A2ches

[Vision](/fr/tasks/vision/), [Support multilingue](/fr/tasks/multilingual-support/)

**T%C3%A2ches:** [Support multilingue](/fr/tasks/multilingual-support/)

## Comparer des mod%C3%A8les

- [Aya 23 8B vs Llama 3.2 11B Vision Instruct](/fr/compare/aya-23-8b-vs-llama-3-2-11b-vision-instruct/)
- [Aya Expanse 8B vs Llama 3.2 11B Vision Instruct](/fr/compare/aya-expanse-8b-vs-llama-3-2-11b-vision-instruct/)
- [Bloom 1b1 vs Llama 3.2 1B Instruct](/fr/compare/bloom-1b1-vs-llama-3-2-1b-instruct/)
- [Bloom 560M vs Llama 3.2 1B Instruct](/fr/compare/bloom-560m-vs-llama-3-2-1b-instruct/)
- [Bloomz 560M vs Llama 3.2 1B Instruct](/fr/compare/bloomz-560m-vs-llama-3-2-1b-instruct/)
- [NVIDIA Cosmos Reason2 2B vs Llama 3.2 1B Instruct](/fr/compare/cosmos-reason2-2b-vs-llama-3-2-1b-instruct/)