Meta has just released its most advanced open-source AI model so far—Llama 4.
This exciting launch includes two versions: Llama4Scout and Llama4Maverick. And there’s even more coming soon!
What’s New in Llama 4?
1. Llama4Scout
- 109 billion total parameters.
- 17 billion active parameters.
- Supports 10 million context length (that’s over 20 hours of video!).
- Runs on a single H100 GPU using a technology called Int4 quantization.
- Beats other top models like Gemma3 and Mistral3.1 in performance tests.
2. Llama4Maverick
- 400 billion total parameters.
- Also has 17 billion active parameters, but with 128 experts.
- Handles up to 1 million context length.
- Ranks 2nd on the LMSYS large model leaderboard.
- Powerful reasoning and coding skills with fewer resources compared to other big models.
3. Coming Soon: Llama4Behemoth
- A future version with a mind-blowing 2 trillion parameters.
- Early results show it outperforms even GPT-4.5 and Claude Sonnet 3.7 in STEM tests.
What Makes Llama 4 Special?
- Mixture-of-Experts (MoE) design: It uses multiple “experts” to answer questions more efficiently.
- Multimodal support: Works with both text and images using something called “early fusion”.
- Upgraded visual encoder and new training method (MetaP) to fine-tune performance.
Available Now
Developers can download Llama4Scout and Llama4Maverick starting today from llama.com and Hugging Face, making these cutting-edge AI capabilities accessible to the open-source community.
Final Thoughts
Llama 4 is a big step forward in making powerful AI tools more accessible. Its open-source nature means developers, researchers, and even startups can build amazing things without relying on closed platforms.
Whether you’re into coding, content creation, or research, Llama 4 offers advanced tools in a user-friendly package.