InternLM2.5-7B-Chat

A high-performance 7 billion parameter dialogue model

CommonProductchattingDialogue ModelReasoning Ability

InternLM2.5-7B-Chat is an open-source 7 billion parameter Chinese dialogue model designed for practical scenarios. It boasts excellent reasoning abilities and surpasses models like Llama3 and Gemma2-9B in mathematical reasoning. It can analyze and reason from information gathered across hundreds of web pages, possesses strong tool invocation capabilities, supports a 1M ultra-long context window, making it suitable for building intelligent agents for long text processing and complex tasks.

Exhibits superior performance in mathematical reasoning
surpassing models of similar size.
Supports a 1M ultra-long context window
ideal for long text processing.
Can gather information from multiple web pages for analysis and reasoning.
Possesses capabilities in instruction understanding
tool selection
and result reflection.
Supports model deployment and API service through LMDeploy and vLLM.
Code follows the Apache-2.0 protocol and is open-source

Designed for enterprises and research institutions requiring complex dialogue processing
long-text analysis
and information retrieval. This model is suitable for building intelligent customer service
personal assistants
and educational tutoring applications

Used to build intelligent customer service systems
providing 24-hour automatic response services.
As a personal assistant
it helps users manage schedules and reminds them of important events.
In the education sector

Step 1: Load the InternLM2.5-7B-Chat model using the provided code.
Step 2: Set model parameters and choose the appropriate precision (float16 or float32).
Step 3: Use the model's chat or stream_chat interface for dialogue or streaming text generation.
Step 4: Deploy the model using LMDeploy or vLLM to enable local or cloud-based reasoning.
Step 5: Send requests to the model and obtain the dialogue or text generation results.

Visit

InternLM2.5-7B-Chat Visit Over Time

Monthly Visits

17104189

Bounce Rate

44.67%

Page per Visit

5.5

Visit Duration

00:05:49

InternLM2.5-7B-Chat Visit Trend

InternLM2.5-7B-Chat Visit Geography

InternLM2.5-7B-Chat Traffic Sources

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