F2LLM v2 4B is an embedding model that converts text into dense vector representations. At 4 billion parameters with a 40,960-token context window, it can handle fairly long documents in a single pass — useful when you need to capture meaning across extended text. As an open-weight model under Apache 2.0, it's straightforward to deploy and fine-tune locally.