1e1d0d352af3931ed704f00b60ca764011dd95bd
Model: LiquidAI/LFM2-1.2B-RAG-GGUF Source: Original Platform
library_name, license, license_name, license_link, language, pipeline_tag, tags, base_model
| library_name | license | license_name | license_link | language | pipeline_tag | tags | base_model | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | lfm1.0 | LICENSE |
|
text-generation |
|
LiquidAI/LFM2-1.2B-RAG |
LFM2-1.2B-RAG-GGUF
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
Description
