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Llama 3.2 1B Instruct vs Llama 3.2 11B Vision Instruct
Postavite dva do štiri modele enega ob drugega glede na polja, ki odločajo o uvedbi: kontekst, cena, regija, licenca, jeziki, gostovanje in kaj je preverjeno.
| Llama 3.2 1B Instruct | Llama 3.2 11B Vision Instruct | |
|---|---|---|
| Ponudnik | Meta | Meta |
| Parametri | 1.2B | 10.7B |
| Kontekstno okno | Ni preverjeno: ponudnik te trditve ni dokumentiral. | Ni preverjeno: ponudnik te trditve ni dokumentiral. |
| Licenca | llama3.2 | llama3.2 |
| Modalnosti | text | text, vision |
| Datum izdaje | 18. sep. 2024 | 18. sep. 2024 |
| Jeziki | Močno: en, de, fr, it, pt, es Zadostno: hi, th | Močno: en, de, fr, it, pt, es Zadostno: hi, th |
| Odprte uteži | da | da |
| Naloge | Nizki stroški, Večjezična podpora, Povzemanje | Vid, Večjezična podpora |
Kjer se dva modela razlikujeta, ta tabela pokaže razliko in se ustavi. LLM EU ne objavi značke zmagovalca brez dokumentirane ocene za to nalogo, manjkajoča številka pa ostane manjkajoča, namesto da bi postala nič.
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Llama 3.2 1B Instruct
Prednosti
- 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
Omejitve
- catalogue only — 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
Naloge
Llama 3.2 11B Vision Instruct
Prednosti
- 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
Omejitve
- catalogue only — 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
Naloge
Naloge: Večjezična podpora