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InternLM2.5 (Intern-S1)

by Shanghai AI Laboratory

AI Model
Low Confidence

InternLM2.5, also referred to as Intern-S1, is a large-scale open-source foundation model developed by Shanghai AI Laboratory in collaboration with SenseTime and other academic institutions. It is part of the InternLM series and is designed for advanced natural language understanding, generation, and multimodal capabilities. Intern-S1 is optimized for complex reasoning, tool use, and domain-specific applications, including coding, mathematics, and agent-based tasks. The model is released under the Apache 2.0 license, making it accessible for research and commercial use. It supports both English and Chinese languages and is designed to be deployable on consumer-grade hardware, such as a single GPU with 8GB of VRAM.

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Transparency Score
35%
Limited transparency
Supply Chain
0/20
Compliance
10/20
Policy
0/25
Technical
25/25
Ethical & Operational
0/10
Openness Assessment
36%Limited Openness
4 Open
2 Partial
6 Closed
2 Unknown
Availability
2/5 Open
Documentation
3/6 Open
Access Methods
1/3 Open
Data from EU Open Source AI Index (DOI: 10.5281/zenodo.15386042), licensed under CC-BY 4.0
Capabilities
Text Generation
Code Generation
Conversation
Translation
Summarization
Tool Use
Multimodal Reasoning
Mathematical Reasoning
Vendor Information

Complete information about the vendor/provider of this AI application

Shanghai AI LaboratoryView all products →
Contact Information
www.shlab.org.cn/
EU AI Act Provider Information
Verification Status:
Unverified

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Compliance & Risk

Get insights into risk by running assessments on this AI application.

Data Categories

Types of data commonly processed by this application

User Content
Conversation Logs
Code Snippets
Pii
Images
Multimodal Data
Added: April 24, 2026
Updated: April 24, 2026

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