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

Qiegħed żewġ mudelli sa erbgħa ma' xulxin fuq l-oqsma li jiddeċiedu deployment: kuntest, prezz, reġjun, liċenzja, lingwi, hosting, u x'hu verifikat.

Llama 3.2 3B InstructLlama 3.2 11B Vision Instruct
Fornitur MetaMeta
Parametri 3.2B10.7B
Tieqa tal-kuntest Mhux verifikat: il-fornitur ma ddokumentax din id-dikjarazzjoni.Mhux verifikat: il-fornitur ma ddokumentax din id-dikjarazzjoni.
Liċenzja llama3.2llama3.2
Modalitajiet texttext, vision
Data tar-rilaxx 18 Set 202418 Set 2024
Lingwi Qawwi: en, de, fr, it, pt, es
Adekwat: hi, th
Qawwi: en, de, fr, it, pt, es
Adekwat: hi, th
Piżijiet miftuħa ivaiva
Kompiti Spiża baxxa, Appoġġ multilingwi, SommarizzazzjoniViżjoni, Appoġġ multilingwi

Fejn żewġ mudelli jvarjaw, din it-tabella turi d-differenza u tieqaf. LLM EU ma tippubblikax badge ta' rebbieħ mingħajr punteġġ dokumentat għal dik il-kompitu, u figura nieqsa tibqa' nieqsa minflok ma ssir żero.

Meta tużah

Llama 3.2 3B Instruct

Saħħiet

  • 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 — 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

Spiża baxxa, Appoġġ multilingwi, Sommarizzazzjoni

Llama 3.2 11B Vision Instruct

Saħħiet

  • 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 — 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

Viżjoni, Appoġġ multilingwi

Kompiti: Appoġġ multilingwi

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