Meta has unveiled its  Llama 4 🦙 family of models, featuring native multimodality and mixture-of-experts architecture. Two model families are available now:
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Meta has unveiled its  Llama 4 🦙 family of models, featuring native multimodality and mixture-of-experts architecture. Two model families are available now:
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Models🤗:  
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Models🤗:  
https://huggingface.co/collections/meta-llama/llama-4-67f0c30d9fe03840bc9d0164
meta-llama/llama-4-67f0c30d9fe03840bc9d0164
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https://huggingface.co/collections/meta-llama/llama-4-67f0c30d9fe03840bc9d0164
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Blog Post: 
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Blog Post: 
https://ai.meta.com/blog/llama-4-multimodal-intelligence/
https://ai.meta.com/blog/llama-4-multimodal-intelligence/
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HF's Blog Post: 
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HF's Blog Post: 
https://huggingface.co/blog/llama4-release
https://huggingface.co/blog/llama4-release
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- 🧠 Native Multimodality - Process text and images in a unified architecture
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- 🧠 Native Multimodality - Process text and images in a unified architecture
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- 🔍 Mixture-of-Experts - First Llama models using MoE for incredible efficiency
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- 🔍 Mixture-of-Experts - First Llama models using MoE for incredible efficiency
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- 📏 Super Long Context - Up to 10M tokens
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- 📏 Super Long Context - Up to 10M tokens
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- 🌐 Multilingual Power - Trained on 200 languages with 10x more multilingual tokens than Llama 3 (including over 100 languages with over 1 billion tokens each)
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- 🌐 Multilingual Power - Trained on 200 languages with 10x more multilingual tokens than Llama 3 (including over 100 languages with over 1 billion tokens each)
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🔹 Llama 4 Scout
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🔹 Llama 4 Scout
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- 17B active parameters (109B total)
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- 17B active parameters (109B total)
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- 16 experts architecture
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- 16 experts architecture
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- 10M context window
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- 10M context window
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- Fits on a single H100 GPU
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- Fits on a single H100 GPU
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- Beats Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1
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- Beats Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1
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🔹 Llama 4 Maverick
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🔹 Llama 4 Maverick
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- 17B active parameters (400B total)
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- 17B active parameters (400B total)
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- 128 experts architecture
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- 128 experts architecture
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- It can fit  perfectly on DGX H100(8x H100)
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- It can fit  perfectly on DGX H100(8x H100)
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- 1M context window
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- 1M context window
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- Outperforms GPT-4o and Gemini 2.0 Flash
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- Outperforms GPT-4o and Gemini 2.0 Flash
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- ELO score of 1417 on LMArena currently second best model on arena
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- ELO score of 1417 on LMArena currently second best model on arena
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🔹 Llama 4 Behemoth (Coming Soon)
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🔹 Llama 4 Behemoth (Coming Soon)
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- 288B active parameters (2T total)
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- 288B active parameters (2T total)
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- 16 experts architecture
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- 16 experts architecture
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- Teacher model for Scout and Maverick
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- Teacher model for Scout and Maverick
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- Outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks
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- Outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks
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Meta has unveiled its  Llama 4 🦙 family of models, featuring native multimodality and mixture-of-experts architecture. Two model families are available now:
Models🤗:  https://huggingface.co/collections/meta-llama/llama-4-67f0c30d9fe03840bc9d0164
Blog Post: https://ai.meta.com/blog/llama-4-multimodal-intelligence/
HF's Blog Post: https://huggingface.co/blog/llama4-release

- 🧠 Native Multimodality - Process text and images in a unified architecture
- 🔍 Mixture-of-Experts - First Llama models using MoE for incredible efficiency
- 📏 Super Long Context - Up to 10M tokens
- 🌐 Multilingual Power - Trained on 200 languages with 10x more multilingual tokens than Llama 3 (including over 100 languages with over 1 billion tokens each)

🔹 Llama 4 Scout
- 17B active parameters (109B total)
- 16 experts architecture
- 10M context window
- Fits on a single H100 GPU
- Beats Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1

🔹 Llama 4 Maverick
- 17B active parameters (400B total)
- 128 experts architecture
- It can fit  perfectly on DGX H100(8x H100)
- 1M context window
- Outperforms GPT-4o and Gemini 2.0 Flash
- ELO score of 1417 on LMArena currently second best model on arena

🔹 Llama 4 Behemoth (Coming Soon)
- 288B active parameters (2T total)
- 16 experts architecture
- Teacher model for Scout and Maverick
- Outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks

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