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Meta Llama 4 OUTSHINES DeepSeek R1: Now Available for FREE!
#Meta #Llama #BEATS #DeepSeek #COMPLETELY #FREE
# 🔥 Meta Releases Llama 4: The Most Powerful Open AI Model Yet! 🔥
In this video, we explore Meta’s groundbreaking release of Llama 4, the most powerful open-source multimodal AI model to date. Ranked second only to Gemini 2.5 Pro in LMC’s Arena, Llama 4 represents a new era in AI technology that’s accessible to everyone.
## 📱 Try Llama 4 Now:
– Facebook
– Instagram
– Web: meta.ai
– Hugging Face
– Grock Cloud
– PraisAI Agents Framework
## 🚀 Llama 4 Family – Three Powerful Versions:
### Llama 4 Scout:
– 17 billion active parameters with 16 experts
– Fits in a single H100 GPU
– Industry-leading 10 million token context window
– Outperforms Gemma 3, Gemini 2.0, Flashlight, and Mistral 3.1
– Best-in-class image grounding capability
– Available now!
### Llama 4 Maverick:
– 17 billion active parameters with 128 experts
– Fits in an H100 DGX host
– Multimodal capabilities
– Outperforms GPT-4o, Gemini 2.0 Flash
– Comparable performance to Deepseek v3 with fewer parameters
– Available now!
### Llama 4 Behemoth:
– 288 billion active parameters with 16 experts
– Nearly 2 trillion total parameters – largest open-source model ever trained
– Outperforms GPT-4.5, Claude 3.7 Sonnet, Gemini 2.0 Pro on STEM benchmarks
– Used as a teacher model for knowledge distillation
– Still in training – coming soon!
## 🧠 Technical Innovations:
– Natively multimodal with early fusion integration
– Improved vision encoder based on Meta CLIP
– New Meta pretraining technique for hyperparameters
– Pretrained on 200 languages (10x more multilingual tokens than Llama 3)
– FP8 precision for efficient training
– I-ROPE architecture for enhanced context length
– 30+ trillion token training data
– Pre-training and post-training safeguards
– Open-source system protection
## 🛡️ Safety Features:
– Llama Guard
– Prompt Guard
– Cybersec evaluations
– Balanced responses across political spectrum (political lean comparable to Grok)
## 🧪 Tests Performed in the Video:
– Basic instruction following
– Word counting (partial success)
– Letter counting in “strawberry” (partial success)
– Trolley problem (misunderstood the premise)
– Python challenges:
– Bitwise logical negation (initial fail, partial fix)
– Josephus permutation (pass)
– Economical numbers (pass)
– Dashboard creation with charts (pass)
## 📢 Coming Soon:
– Llama 4 Reasoning announced by Mark Zuckerberg
#Llama4 #MetaAI #AITechnology #OpenSourceAI #MachineLearning #ArtificialIntelligence #LLM #MultimodalAI
Let me know in the comments what you think of Llama 4! If you found this helpful, please like and subscribe for more AI content.
Timestamp:
0:00 – Introduction to Llama 4
0:37 – Llama 4 Family Overview
0:54 – Llama 4 Scout Details
1:19 – Llama 4 Maverick Specs
1:42 – Llama 4 Behemoth Features
2:09 – Technical Innovations
2:43 – Availability Platforms
3:07 – Testing Llama 4 Capabilities
4:31 – Python Challenge Tests
5:24 – Dashboard Creation Test
5:51 – Conclusion
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