Splitting out the command r7b content.

[trentfowlercohere]

This pull request introduces a new page for the Command R7B model, which is the smallest, fastest, and final model in the R family of enterprise-focused large language models (LLMs). The model is designed for use cases where speed, cost, and compute are important, and it offers state-of-the-art performance across various real-world tasks.

The Command R7B model is particularly well-suited for:

• RAG (Retrieval Augmented Generation): This model excels at generating responses in conversational tasks, attending to long inputs, and extracting and manipulating numerical information in financial settings.
• Tool-use: Command R7B can be given tools like search engines, APIs, and vector databases to expand its functionality. It performs well in real-world, diverse, and dynamic environments and avoids unnecessary tool calls.
• Agents: The model's multi-step tool use capabilities enable it to power fast and capable REACT agents. It can break down complex questions into subgoals and perform well in domains requiring complex reasoning and active information seeking.

The pull request adds the following changes:

• A new page for Command R7B is created in fern/pages/models/the-command-family-of-models/command-r7b.mdx, providing details about the model's capabilities and use cases.
• The navigation structure is updated in fern/v1.yml and fern/v2.yml to include the new Command R7B page.

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