Huatuo G P T o1 7 B G G U F

Introduction

HuatuoGPT-o1-7B-GGUF is a model designed for medical applications, supporting both English and Chinese languages. It is built on the base model FreedomIntelligence/HuatuoGPT-o1-7B and utilizes datasets focusing on medical reasoning and verifiable problems.

Architecture

This model leverages the Transformers library and supports multiple quantization formats. The quantized model files are designed to optimize performance and storage efficiency while maintaining quality, with variations in quantization levels to suit different needs.

Training

The model was trained using medical-specific datasets, including FreedomIntelligence/medical-o1-reasoning-SFT and FreedomIntelligence/medical-o1-verifiable-problem. These datasets help in enhancing the model's capability to handle medical conversations and problem-solving tasks.

Guide: Running Locally

1. Clone the Repository: Download the model files from the HuatuoGPT-o1-7B-GGUF repository.
2. Install Dependencies: Ensure you have the Transformers library installed. Use pip install transformers.
3. Load Model: Use the model in your Python script by loading it through the Transformers library.
4. Select Quantization: Choose the appropriate quantized file based on your needs (e.g., Q4_K_S for speed and efficiency).
5. Run Inference: Execute the model on your data or tasks.

For improved performance, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure, which offer scalable resources suitable for model inference.

License

The HuatuoGPT-o1-7B-GGUF model is licensed under the Apache-2.0 License, allowing for free use, modification, and distribution with attribution.