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Olmo 3 7B Think vs Olmo 3 32B Think SFT

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.

Olmo 3 7B ThinkOlmo 3 32B Think SFT
Ponudnik Allen Institute for AI (Ai2)Allen Institute for AI (Ai2)
Parametri 7.3B32.2B
Kontekstno okno Ni preverjeno: ponudnik te trditve ni dokumentiral.Ni preverjeno: ponudnik te trditve ni dokumentiral.
Licenca apache-2.0apache-2.0
Modalnosti texttext
Datum izdaje 18. nov. 202514. nov. 2025
Jeziki Močno: en
Zadostno: —
Močno: en
Zadostno: —
Odprte uteži dada
Naloge RazmišljanjeRazmišljanje

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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Olmo 3 7B Think

Prednosti

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
  • at 7.3B parameters it fits on a single accelerator
  • the model page lists en

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 7.3B parameters, the weights fit on a single modest accelerator

Naloge

Razmišljanje

Olmo 3 32B Think SFT

Prednosti

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
  • the model page lists en
  • 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 32.2B parameters, self-hosting needs a high-memory accelerator

Naloge

Razmišljanje

Naloge: Razmišljanje

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