Based on LFM2-1.2B, LFM2-1.2B-RAG is specialized in answering questions based on provided contextual documents, for use in RAG (Retrieval-Augmented Generation) systems.

Use cases:

Chatbot to ask questions about the documentation of a particular product.
Custom support with an internal knowledge base to provide grounded answers.
Academic research assistant with multi-turn conversations about research papers and course materials.

You can find more information about other task-specific models in this blog post.

🏃 How to run LFM2

Example usage with llama.cpp:

llama-cli -hf LiquidAI/LFM2-1.2B-RAG-GGUF