Kuiz Berat Terbuka

Jawapan dan penjelasan muncul semasa anda mengambil kuiz.

1. Apakah yang membezakan model 'wajaran terbuka' daripada model sumber terbuka sepenuhnya di bawah definisi OSI?
   • Berat dikeluarkan, tetapi data, kod atau istilah terbuka mungkin tidak
   • Tidak ada perbezaan yang bermakna antara kedua-dua istilah
   • Model pemberat terbuka tidak boleh dimuat turun atau dijalankan oleh sesiapa sahaja
   • Model sumber terbuka tidak pernah melepaskan pemberat terlatih mereka
2. A team can download a model checkpoint. What should it check before using the model in a product?
   • Assume downloading grants every commercial and redistribution right
   • The permissions and restrictions in the license for that exact release
   • Rely only on the model family name
   • Treat the download page as a replacement for license terms
3. Why might a downloaded model need more than its weight file for compatible inference?
   • A weight file must include every training example
   • Only the original author can load any model
   • Architecture, tokenizer or preprocessing, configuration and runtime determine how weights are interpreted
   • A model cannot run without a cloud account
4. How can fine-tuning affect a model’s refusal behavior?
   • It guarantees every refusal is preserved
   • It makes the model permanently unable to answer benign requests
   • It remotely updates the original provider’s hosted model
   • It can change refusal behavior, so the adapted model should be reevaluated
5. Apakah faedah penting pemberat terbuka untuk penyelidik?
   • Mereka boleh memeriksa pengaktifan dan menjalankan eksperimen penalaan halus
   • Mereka menerima markah yang dijamin lebih tinggi pada setiap penanda aras
   • Mereka tidak lagi memerlukan perkakasan pengkomputeran sama sekali
   • Mereka mendapat akses percuma kepada data latihan model tertutup
6. What should an operator keep when modifying an open-weight model?
   • Only a public download counter
   • A record of modifications and a rollback version
   • A claim that all adaptations are compliant
   • The base model’s marketing slogan
7. Which claim is supported by access to model weights alone?
   • The training data are public
   • The model can be reproduced exactly
   • The parameters can be downloaded under the release’s terms, but other components may still be missing
   • Every use is permitted commercially
8. What should a team check before using a quantized open-weight checkpoint?
   • Only the model family name
   • That quantization guarantees identical quality
   • That the checkpoint needs no tokenizer or runtime
   • Its task behavior and resource use on the intended hardware