Llama 4 has officially launched, and it’s not just a rumor or a leak. This new model is available for download, and it’s making waves in the AI community. With a focus on open-source accessibility, Llama 4 aims to set a new standard in AI technology. Let’s break down what this means for users and developers alike.
Key takeaways
- Llama 4 comes in three variants: Behemoth, Maverick, and Scout.
- The Scout model features a groundbreaking 10 million token context length.
- Maverick is designed for efficiency, outperforming competitors like GPT-4 and Gemini 2.0 Flash.
- Behemoth, still in training, boasts over 2 trillion parameters, making it one of the largest models available.
- Downloading the models requires filling out a form, and there are restrictions on usage.
Overview of Llama 4 models
Llama 4 is available in three different versions:
- Llama 4 Scout: This is the smallest model with 17 billion active parameters and 16 experts. It’s designed to run on a single H100 GPU and features an impressive 10 million context length, which is a game-changer for handling larger datasets.
- Llama 4 Maverick: Also with 17 billion active parameters but equipped with 128 experts, Maverick is built for efficiency. It’s said to outperform models like GPT-4 and Gemini 2.0 Flash across various benchmarks, making it a strong contender in the AI space.
- Llama 4 Behemoth: This is the largest model, boasting over 2 trillion parameters. Although it’s still under training, it has already shown superior performance compared to other leading models like GPT-4.5 and Claude 3.7.
The significance of the 10 million context length
One of the standout features of Llama 4 Scout is its 10 million token context length. This is unprecedented in the AI field and allows for much larger inputs without losing context. This capability is expected to significantly improve the model's performance in tasks that require understanding of extensive data, such as coding or complex reasoning.
Performance comparisons
When comparing Llama 4 models to others in the market, here’s how they stack up:
- Llama 4 Scout: Outperforms Gemini 3 and Mistral 3.1, making it the best small model in its class.
- Llama 4 Maverick: Claims to beat GPT-4 and Gemini 2.0 Flash in various benchmarks, providing a better performance-to-cost ratio.
- Llama 4 Behemoth: While still in training, it has already surpassed several benchmarks set by other models, indicating its potential once fully operational.
Downloading the models
To access Llama 4, users must fill out a form on the official website. After submitting your details, you’ll receive a link to download the models. However, there are some restrictions:
- You can only download the model five times within 48 hours.
- The license prohibits usage for applications with over 700 million monthly active users, which has raised some eyebrows in the community.
Conclusion
Llama 4 represents a significant step forward in open-source AI. With its innovative features and powerful performance, it’s set to challenge existing models and redefine what’s possible in AI technology. While there are some concerns about the licensing and download restrictions, the potential benefits of Llama 4 are hard to ignore. If you’re interested in exploring these new models, head over to the official site and get started today!