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MAI DS R1

Developed by microsoft
MAI-DS-R1 is the result of Microsoft AI team's post-training of the DeepSeek-R1 inference model, aimed at enhancing its response capability to sensitive topics and optimizing risk performance, while maintaining the original reasoning ability and competitive advantages.
Downloads 8,840
Release Time : 4/16/2025

Model Overview

A post-training version based on the DeepSeek-R1 inference model, developed by the Microsoft AI team, to fill the information gaps of the previous model and improve its risk performance, while retaining R1's reasoning capabilities.

Model Features

Enhanced Response Capability to Sensitive Topics
Post-training removed most query restrictions from the original R1 model, optimizing its response capability to sensitive topics.
Optimized Risk Performance
Outperforms Perplexity's recently released R1-1776 model in relevant safety benchmarks while retaining the general reasoning capabilities of the original DeepSeek-R1.
Multilingual Support
Utilized approximately 350,000 internally developed multilingual example datasets for post-training.
Retained Original Reasoning Capability
While improving safety, it maintains DeepSeek-R1's original strong chain-of-thought reasoning and general language understanding capabilities.

Model Capabilities

General Text Generation and Understanding
General Knowledge Tasks
Reasoning and Problem Solving
Code Generation and Understanding
Science and Academic Applications

Use Cases

Text Generation
Dialogue Generation
Generate coherent, contextually relevant dialogue content
Article Writing
Generate structurally complete articles based on prompts
Story Continuation
Continue a story based on a given beginning
Knowledge Q&A
Open-domain Q&A
Answer open-domain questions requiring factual knowledge
Reasoning and Problem Solving
Mathematical Word Problems
Solve multi-step mathematical reasoning problems
Adopts chain-of-thought strategies to improve accuracy
Logic Puzzles
Solve complex logic problems
Programming Assistance
Code Generation
Assist programming tasks by generating code snippets
Code Explanation
Explain code functionality and logic
Academic Research
STEM Problem Solving
Assist structured problem solving in science, technology, engineering, and mathematics fields
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