--- language: - en pipeline_tag: text-generation --- # Model Card for qa-expert-7B-V1.0 This model aims to handle **Multi-hop Question answering** by splitting a multi-hop questions into a sequence of single questions, handle these single questions then summarize the information to get the final answer. ## Model Details This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the dataset: [khaimaitien/qa-expert-multi-hop-qa-V1.0](https://huggingface.co/datasets/khaimaitien/qa-expert-multi-hop-qa-V1.0) You can get more information about how to **use/train** the model from this repo: https://github.com/khaimt/qa_expert ### Model Sources [optional] - **Repository:** [https://github.com/khaimt/qa_expert] ## How to Get Started with the Model First, you need to clone the repo: https://github.com/khaimt/qa_expert Then install the requirements: ```shell pip install -r requirements.txt ``` Here is the example code: ```python from qa_expert import get_inference_model, InferenceType def retrieve(query: str) -> str: # You need to implement this retrieval function, input is a query and output is a string # This can be treated as the function to call in function calling of OpenAI return context model_inference = get_inference_model(InferenceType.hf, "khaimaitien/qa-expert-7B-V1.0") answer, messages = model_inference.generate_answer(question, retriever_func) ```