Sammenlign

Llama 3.2 3B Instruct vs Llama 3.2 11B Vision Instruct

Sæt to til fire modeller side om side på de felter, der afgør en udrulning: kontekst, pris, region, licens, sprog, hosting og hvad der er verificeret.

Llama 3.2 3B InstructLlama 3.2 11B Vision Instruct
Udbyder MetaMeta
Parametre 3.2B10.7B
Kontekstvindue Ikke verificeret: udbyderen har ikke dokumenteret denne påstand.Ikke verificeret: udbyderen har ikke dokumenteret denne påstand.
Licens llama3.2llama3.2
Modaliteter texttext, vision
Udgivelsesdato 18. sep. 202418. sep. 2024
Sprog Stærk: en, de, fr, it, pt, es
Tilstrækkelig: hi, th
Stærk: en, de, fr, it, pt, es
Tilstrækkelig: hi, th
Åbne vægte jaja
Opgaver Lav pris, Flersproget support, ResuméVision, Flersproget support

Hvor to modeller adskiller sig, viser denne tabel forskellen og stopper. LLM EU offentliggør ikke et vinderbadge uden en dokumenteret score for den opgave, og et manglende tal forbliver manglende i stedet for at blive et nul.

Hvornår man bruger den

Llama 3.2 3B Instruct

Styrker

  • 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

Begrænsninger

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

Opgaver

Lav pris, Flersproget support, Resumé

Llama 3.2 11B Vision Instruct

Styrker

  • 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

Begrænsninger

  • 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

Opgaver

Vision, Flersproget support

Opgaver: Flersproget support

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