quiz bu lëkkale ak tegtal · Diggante Niveau
Quiz Famille Modèle Llama
Xoolaat génne yu ubbeeku yi Llama, lignée model, tuning tegtal, njariñu inference, ak xeetu multimodal yu bees.
Laaj 1 de 8
How does Meta describe access to Llama model weights, and what governs use?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- 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
- Luy tekki akronim 'Llama'?
- Jàng Lineer ak Arsitektir Multimodal
- Modèlu làkk bu yaatu Meta AI
- Logique bu bari ak jàngat masin
- Aplikaasioŋ ngir doxal làkk wi ci dëkk bi
- Ban génne Llama moo njëkka yokk lisence buy may ñu jëfandikoo ko ci anam wu yaatu ci wàllu jënd ak jaay?
- Llama 1
- Llama 405 kese
- Lama 2
- Kenn ci ñoom nanguwul ñu jëfandikoo ko ci jënd ak jaay
- Ban architecture moo nekk ci suufu xeetu Llama yi?
- ab xaajkat nataal buy boole
- Ensemble garabu dogal
- Reseau buy baaxoo te kenn duko bàyyi xel
- Transformatëru dekodeer kese mooy wax luy waaja am ci jeton bi ci topp
- naka lañuy defaree Llama 'waxtaan' wala anam yuñ defar ngir topp li jëfandikukat bi digal?
- Jaaraleko ci njubluwaay buñ saytu ak jàngat buy dooleel ci feedback nit
- Soo yokke dayo ekraŋ bi
- Soo efaasee modelu baas bi yépp
- Soo njëkkee tekki bépp laaj ci làkku latin
- 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
- 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
- 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