Playground

--- library_name: transformers license: other license_name: lfm1.0 license_link: LICENSE language: - en - ar - zh - fr - de - ja - ko - es pipeline_tag: text-generation tags: - liquid - lfm2 - edge base_model: LiquidAI/LFM2-1.2B-RAG ---

# LFM2-1.2B-RAG-GGUF Based on [LFM2-1.2B](https://huggingface.co/LiquidAI/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](https://www.liquid.ai/blog/introducing-liquid-nanos-frontier-grade-performance-on-everyday-devices). ## 🏃 How to run LFM2 Example usage with [llama.cpp](https://github.com/ggml-org/llama.cpp): ``` llama-cli -hf LiquidAI/LFM2-1.2B-RAG-GGUF ```