InternLM3-8B-Instruct

InternLM3-8B-Instruct Introduction

InternLM3-8B-Instruct is a large language model developed by the InternLM team with excellent reasoning and knowledge processing capabilities. This model has low training cost and has better performance than models of the same level, such as Llama3.1-8B and Qwen2.5-7B. It supports deep thinking mode, can solve complex reasoning problems, and provides smooth user interaction. The model is open source under the Apache-2.0 license.

target users

It is suitable for researchers, developers and enterprises to develop natural language processing intelligent assistants to solve complex problems and other application scenarios. The open source nature makes it ideal for academic research and commercial applications.

Usage scenario examples

Natural language processing research model training and algorithm optimization

Smart Assistant Application Improves Assistant’s Reasoning and Conversation Capabilities

Enterprise application development knowledge-intensive business systems such as intelligent customer service data analysis

Product features

Outperform multiple models of the same level on reasoning and knowledge-intensive tasks

Support deep thinking mode to solve complex reasoning tasks

Have smooth user interaction capabilities

Open source model weights and code

Comprehensive evaluation using OpenCompass tools

Tutorial

Load the model using the Transformers library

Set up system prompts to define model roles and behavioral guidelines

Build user input messages to interact with the model

Use the generate method to generate reply adjustment parameter optimization output

Decode the reply to get the final text result