Usporedi

Phi Tiny MoE Instruct vs Phi 3.5 MoE Instruct

Stavite dva do četiri modela jedan pored drugoga na poljima koja odlučuju o implementaciji: kontekst, cijena, regija, licenca, jezici, hosting i što je verificirano.

Phi Tiny MoE InstructPhi 3.5 MoE Instruct
Pružatelj MicrosoftMicrosoft
Parametri 3.8B41.9B
Prozor konteksta Nije provjereno: pružatelj nije dokumentirao ovu tvrdnju.Nije provjereno: pružatelj nije dokumentirao ovu tvrdnju.
Licenca mitmit
Modaliteti texttext
Datum izdanja 23. lip 2025.17. kol 2024.
Jezici Jako: en
Zadovoljavajuće: —
Jako: —
Zadovoljavajuće: nlp
Otvoreni utezi dada
Zadaci Zaključivanje, Niska cijenaZaključivanje, Višejezična podrška

Kada se dva modela razlikuju, ova tablica pokazuje razliku i tu staje. LLM EU ne objavljuje značku pobjednika bez dokumentiranog rezultata za taj zadatak, a brojka koja nedostaje ostaje nedostajuća umjesto da postane nula.

Kada ga koristiti

Phi Tiny MoE Instruct

Prednosti

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • mit licence, so commercial self-hosting is permitted without a separate agreement
  • at 3.8B parameters it fits on a single accelerator
  • the model page lists en
  • instruction-tuned checkpoint with a chat template in the repository

Ograničenja

  • 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 3.8B parameters, the weights fit on a single modest accelerator

Zadaci

Zaključivanje, Niska cijena

Phi 3.5 MoE Instruct

Prednosti

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • mit licence, so commercial self-hosting is permitted without a separate agreement
  • instruction-tuned checkpoint with a chat template in the repository

Ograničenja

  • 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 41.9B parameters, self-hosting needs a high-memory accelerator

Zadaci

Zaključivanje, Višejezična podrška

Zadaci: Zaključivanje

Usporedi modele

Usporedi modele →