Title: Llama 3.2 3B Instruct vs Llama 3.2 11B Vision Instruct %E2%80%94 LLM EU
Canonical: https://llmeu.com/mt/compare/llama-3-2-3b-instruct-vs-llama-3-2-11b-vision-instruct/
Markdown mirror: https://llmeu.com/mt/compare/llama-3-2-3b-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 3B Instruct vs Llama 3.2 11B Vision Instruct

Qieg%C4%A7ed %C5%BCew%C4%A1 mudelli sa erbg%C4%A7a ma' xulxin fuq l-oqsma li jidde%C4%8Biedu deployment: kuntest, prezz, re%C4%A1jun, li%C4%8Benzja, lingwi, hosting, u x'hu verifikat.

Fejn %C5%BCew%C4%A1 mudelli jvarjaw, din it-tabella turi d-differenza u tieqaf. LLM EU ma tippubblikax badge ta' rebbie%C4%A7 ming%C4%A7ajr punte%C4%A1%C4%A1 dokumentat g%C4%A7al dik il-kompitu, u figura nieqsa tibqa' nieqsa minflok ma ssir %C5%BCero.

## Meta tu%C5%BCah

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

#### Sa%C4%A7%C4%A7iet

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 3.2B 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

#### Limiti

- 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 3.2B parameters, the weights fit on a single modest accelerator

#### Kompiti

[Spi%C5%BCa baxxa](/mt/tasks/cheap/), [Appo%C4%A1%C4%A1 multilingwi](/mt/tasks/multilingual-support/), [Sommarizzazzjoni](/mt/tasks/summarization/)

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

#### Sa%C4%A7%C4%A7iet

- 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

#### Limiti

- 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

#### Kompiti

[Vi%C5%BCjoni](/mt/tasks/vision/), [Appo%C4%A1%C4%A1 multilingwi](/mt/tasks/multilingual-support/)

**Kompiti:** [Appo%C4%A1%C4%A1 multilingwi](/mt/tasks/multilingual-support/)

## Qabbel mudelli

- [Aya 23 8B vs Llama 3.2 11B Vision Instruct](/mt/compare/aya-23-8b-vs-llama-3-2-11b-vision-instruct/)
- [Aya Expanse 8B vs Llama 3.2 11B Vision Instruct](/mt/compare/aya-expanse-8b-vs-llama-3-2-11b-vision-instruct/)
- [Blip2 Opt 2.7B vs Llama 3.2 3B Instruct](/mt/compare/blip2-opt-2-7b-vs-llama-3-2-3b-instruct/)
- [Bloom 3B vs Llama 3.2 3B Instruct](/mt/compare/bloom-3b-vs-llama-3-2-3b-instruct/)
- [NVIDIA Cosmos Reason2 2B vs Llama 3.2 3B Instruct](/mt/compare/cosmos-reason2-2b-vs-llama-3-2-3b-instruct/)
- [DeepSeek OCR vs Llama 3.2 3B Instruct](/mt/compare/deepseek-ocr-vs-llama-3-2-3b-instruct/)