Update model card for Think-on-Graph 3.0 framework (RAG-Factory)
#1
by
						
nielsr
	
							HF Staff
						- opened
							
					
This PR updates the model card for IDEA-FinAI/TouchstoneGPT-7B-Instruct to accurately reflect its association with the paper "Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval" and the corresponding RAG-Factory GitHub repository.
The update includes:
- Clarifying that this repository hosts a 
Qwen2-7B-Instructbased model that can be used within the Think-on-Graph 3.0 framework. - Incorporating the abstract of the Think-on-Graph 3.0 paper.
 - Adding links to the paper and the RAG-Factory GitHub repository.
 - Integrating features, installation steps, and general usage examples from the RAG-Factory GitHub README to provide context for the framework.
 - Retaining the existing 
transformerssample usage forTouchstoneGPT-7B-Instruct, explicitly stating how to use this specific model. - Updating metadata with relevant tags such as 
retrieval-augmented-generation,rag,graph-neural-networks, andllm-reasoning, while preserving existingfinanceandtext-generation-inferencetags relevant to the model itself. - Updating images and badges to link to the RAG-Factory project and the Think-on-Graph 3.0 paper.
 
Please review and merge this PR to ensure the model card comprehensively describes the model and its relation to the Think-on-Graph 3.0 framework.