Huatuo G P T o1 72 B G G U F LLM Model

Introduction

HuatuoGPT-o1-72B-GGUF is a text generation model designed for medical applications, capable of processing both English and Chinese languages. It is based on the FreedomIntelligence/HuatuoGPT-o1-72B model and is optimized using llama.cpp quantization techniques.

Architecture

The model utilizes GGUF (Generalized Grammar and Usage Framework) with quantizations made using the imatrix option. It is designed to be run using LM Studio, a platform for deploying language models efficiently.

Training

HuatuoGPT-o1-72B-GGUF was trained on datasets focused on medical reasoning and problem-solving, specifically the FreedomIntelligence/medical-o1-reasoning-SFT and FreedomIntelligence/medical-o1-verifiable-problem datasets. The training incorporates advanced quantization techniques to optimize performance across different hardware setups.

Guide: Running Locally

Install Requirements: Ensure you have the huggingface_hub CLI installed.
```
pip install -U "huggingface_hub[cli]"
```
Download Model: Use the huggingface-cli to download the model files. Replace the filenames with the desired quantization type.
```
huggingface-cli download bartowski/HuatuoGPT-o1-72B-GGUF --include "HuatuoGPT-o1-72B-Q4_K_M.gguf" --local-dir ./
```
Choose Quantization: Depending on your hardware, select a quantization type that fits within your RAM/VRAM limits. For high performance, use K-quants like Q5_K_M, suitable for GPUs.
Run Model: Load the model in your environment using compatible software like LM Studio.

Cloud GPUs

For enhanced performance, consider using cloud GPU services such as AWS EC2, Google Cloud Platform, or Azure, which offer a range of GPU instances that can efficiently handle large models.

License

This model is distributed under the Apache-2.0 license, allowing for commercial use, modification, distribution, and private use.

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