DeepSeek-671B-SFT-Guide

DeepSeek-671B-SFT-Guide

DeepSeek-671B-SFT-Guide is an open-source project designed for full parameter fine-tuning of the DeepSeek-V3/R1 671B model. This guide provides comprehensive resources, including complete code and scripts for training and inference, along with practical experiences and conclusions drawn from the implementation process.

Key Features:

• Full Parameter Fine-Tuning: Supports complete fine-tuning of the DeepSeek-V3/R1 671B model.
• Comprehensive Code and Scripts: Includes all necessary code and scripts from training to inference.
• Practical Insights: Shares practical experiences and conclusions to aid users in their implementation.
• Cluster Configuration: Detailed hardware and environment setup for optimal performance.
• Data Preparation: Guidelines for preparing data in the required format for training.
• Model Deployment: Instructions for deploying the fine-tuned model using various methods.

Benefits:

• Open Source: Freely available for modification and use, promoting collaboration and innovation.
• Community Support: Encourages feedback and contributions from users to improve the project.
• Scalability: Designed to work efficiently on clusters, making it suitable for large-scale training tasks.

Highlights:

• Jointly launched by the Institute of Automation of the Chinese Academy of Sciences and Beijing Wenge Technology Co. Ltd.
• Extensive documentation to guide users through the entire process of fine-tuning and deploying the model.