Discover Llama 4, the groundbreaking open-source AI model that is setting a new standard in the field. This revolutionary model is free to use and available to everyone, promising a new era of natively multimodal innovation. Llama 4 consists of three models, including the impressive Llama 4 Scout with an unprecedented 10 million context length token, far surpassing even Google Germany's latest model. This allows it to process entire codebases and vast amounts of text for reasoning and understanding.
Learn about the other models, Lama Maverick with 17 billion active parameters, and the upcoming Bohemoth model which is already outperforming GPT-4.5 (Gate 2.0) in training and is expected to be the best open-source model available. Explore its performance in encoding, mathematics (reaching near perfection at 95%), and reasoning. Understand its focus on safeguards and safety. You can even test Llama 4 on the Open Router website.
Potential chapters to add to a more comprehensive description could include:
Introduction to Llama 4 and its Open-Source Significance: Discussing the impact of an open-source model and the announcement.
Key Features and Model Variants: Detailing the specifications of Llama 4 Scout, Lama Maverick, and the upcoming Bohemoth, including parameter counts and context length.
Performance Benchmarks and Comparisons: Analysing how Llama 4 compares to other models like GPT-4, Gemini, and previous open-source models in areas like encoding, mathematics, and reasoning.
Real-world Testing and Observations: Sharing insights from testing Llama 4 on platforms like Open Router, including its speed, multimodal capabilities (image description), and coding abilities.
Limitations and Areas for Improvement: Discussing the observed inaccuracies in tasks like counting and web search results during testing.
The Future of Llama 4 and the Open-Source AI Landscape: Speculating on the potential of the Bohemoth model and the broader implications for the AI community.
Getting Started with Llama 4: Providing information on how to access and test the model on platforms like Open Router.
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