Guide-yakabatana mibvunzo · Pakati Nhanho

Llama Model Family Quiz

Ongorora Llama's yakavhurika-huremu kuburitswa, modhi mutsara, kuraira tuning, kugona kwekufungidzira, uye nyowani multimodal akasiyana.

Nzira dzekutungamira dzinoenderanaLlama Model Mhuri
Mubvunzo 1 ye 8

How does Meta describe access to Llama model weights, and what governs use?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. How does Meta describe access to Llama model weights, and what governs use?
    • Weights are publicly released for eligible versions, subject to each version’s license and use terms
    • Every version is public domain with unrestricted use
    • Only Meta employees can access any Llama weights
    • The weights are downloadable without any terms
  2. Izwi rekuti 'Llama' rinomirirei?
    • Linear Kudzidza Uye Multimodal Architecture
    • Huru Mutauro Model Meta AI
    • Layered Logic uye Machine Analysis
    • Mutauro Wekutarisira Mutauro Chikumbiro
  3. Ndekupi kuburitswa kweLlama kwakatanga kuwedzera rezinesi rinobvumidza kushandiswa kwakakura kwekutengesa?
    • Iyo yekutanga Llama 1
    • Llama 405 chete
    • Llama 2
    • Hapana chimwe chazvo chinobvumira kushandiswa kwekutengeserana
  4. Ndeapi magadzirirwo ari pasi pemhando dzeLlama?
    • A convolutional image classifier
    • Muti wechisarudzo ensemble
    • A recurrent network isina hanya
    • Decoder-chete transformer inofanotaura chiratidzo chinotevera
  5. Ko Llama 'chat' kana misiyano yakarongedzwa-murairo inogadzirwa sei kutevera zvinokurudzirwa nemushandisi?
    • Kuburikidza neanotarisirwa kugadzirisa uye kusimbisa kudzidza kubva kumhinduro dzevanhu
    • Nekuwedzera iyo skrini yekugadzirisa
    • Nekudzima base modhi zvachose
    • Nekushandura zvirevo zvese kuLatin kutanga
  6. In what deployment setup can running Llama locally avoid sending prompts to a hosted inference service?
    • Whenever a model is downloaded, even when an app sends prompts to cloud tools
    • When inference runs on-device or on a private local server without a prompt-forwarding service
    • Only when the model is fine-tuned rather than used for inference
    • When the application stores prompts in a shared hosted API
  7. Which attention design did Meta adopt in Llama 3 8B and 70B to improve inference efficiency?
    • Residual vector quantization
    • Spatially-adaptive normalization
    • Grouped-query attention (GQA)
    • A recurrent state-space scan
  8. What inputs can Llama 3.2 Vision models accept?
    • Audio waveforms only
    • Video frames only, with no text
    • Sensor data without language or images
    • Text and images