💻 programming

Eurus-2-7B-SFT

Eurus-2-7B-SFT is a large language model optimized for mathematical capabilities, focusing on reasoning and problem solving.

#Artificial Intelligence
#language model
#programming
#reasoning
#mathematical reasoning
Eurus-2-7B-SFT

Product Details

Eurus-2-7B-SFT is a large language model fine-tuned based on the Qwen2.5-Math-7B model, focusing on improving mathematical reasoning and problem-solving capabilities. This model learns reasoning patterns through imitation learning (supervised fine-tuning), and can effectively solve complex mathematical problems and programming tasks. Its main advantage lies in its strong reasoning ability and accurate processing of mathematical problems, and is suitable for scenarios that require complex logical reasoning. This model was developed by the PRIME-RL team and aims to improve the model's reasoning capabilities through implicit rewards.

Main Features

1
Supports reasoning and solutions to mathematical problems, and can output answers in LaTex format
2
Provides code generation capabilities for programming tasks, supporting Python language
3
Adopt imitation learning method and have good reasoning model learning ability
4
Supports multiple reasoning actions, such as evaluation, advancement, verification, etc., to solve problems step by step
5
Step-by-step reasoning and solution generation for complex problems
6
Provide detailed records of the reasoning process for easy understanding and verification
7
Support training and optimization of large-scale data sets to improve the model’s reasoning capabilities

How to Use

1
1. Prepare problems: Organize the mathematical problems or programming tasks that need to be solved into text format.
2
2. Use system prompts: Choose appropriate system prompts based on question types, such as math question prompts or programming question prompts.
3
3. Enter the question: Enter the question and system prompts into the model.
4
4. Get results: The model will generate detailed reasoning and solutions.
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5. Validate answers: Check that the answers generated by the model are accurate and make adjustments if necessary.

Target Users

This product is suitable for professionals, researchers and students who need to solve complex mathematical problems and programming tasks. It can help users quickly generate solutions and provide detailed reasoning processes for easy understanding and verification.

Examples

Solve complex math problems, such as comparing two decimals

Generate Python code that solves programming problems

Perform multi-step reasoning tasks to solve problems step by step

Quick Access

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Categories

💻 programming
› research tools
› Model training and deployment

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