Intern-S1-mini - Lightweight scientific multimodal model open source by Shanghai AI Lab

What is Intern-S1-mini?

Intern-S1-mini is a lightweight scientific multimodal large model with 8B parameter scale launched by Shanghai Artificial Intelligence Laboratory (SAL), which inherits the powerful capability of Intern-S1, combining general and specialized scientific capabilities, and is suitable for rapid deployment and secondary development. In terms of performance, Intern-S1-mini ranks first in its class in terms of general-purpose capability, especially in MMLU-Pro, AIME2025, MMMU and other authoritative benchmark tests. In the field of scientific specialization, it excels in tasks such as chemistry and materials, for example, it leads significantly in benchmarks such as SmolInstruct, ChemBench, MatBench, etc. It also demonstrates strong cross-domain generalization capabilities in tasks in disciplines such as physics, earth, and biology.

Features of Intern-S1-mini

• Both general and scientific competence: Excellent performance in general-purpose capabilities, firmly ranking in the first echelon of its class, especially in authoritative benchmarks such as MMLU-Pro, AIME2025, MMMU, etc.; excellent performance in scientific specialty areas, such as chemistry, materials and other tasks, especially in benchmarks such as SmolInstruct, ChemBench, MatBench, etc., leading significantly, and Demonstrates strong cross-domain generalization capability.
• Lightweight designIntern-S1-mini is a lightweight model of the 8B parameter, striking a good balance between parameter scale and performance, dramatically reducing the reliance on high-end computing devices, and requiring only a 24GB single card for LoRA fine-tuning, making it suitable for running on consumer GPUs.
• multimodal fusion: Covering multimodal data such as text, images, molecular formulas, proteins, etc., it is capable of handling multiple types of tasks simultaneously, realizing the ultimate balance of textual, graphical and scientific capabilities.
• Low-threshold deployment: Supporting the LLaMA-Factory training fine-tuning framework, the threshold for getting started is extremely low, and users can experience the full power of the model without expensive arithmetic, making it suitable for rapid deployment and secondary development.
• Wide range of application scenarios: It is applicable to a variety of scenarios such as scientific research, secondary development and educational practice, and can provide convenient and professional support for researchers, developers and educators.

Core Benefits of Intern-S1-mini

• superior performance: Combines both general and specialized scientific abilities, with excellent performance in a number of authoritative benchmark tests, especially in chemistry, materials and other science areas significantly ahead of the field, demonstrating a strong ability to generalize across fields.
• Lightweight and efficientIntern-S1-mini is a lightweight model of the 8B parameter, striking a good balance between parameter scale and performance, dramatically reducing the reliance on high-end computing devices, and requiring only a 24GB single card for LoRA fine-tuning, making it suitable for running on consumer GPUs.
• multimodal fusion: Covering multimodal data such as text, images, molecular formulas, proteins, etc., it is capable of handling multiple types of tasks simultaneously, realizing the ultimate balance of textual, graphical and scientific capabilities.
• Low-threshold deployment: Supporting the LLaMA-Factory training fine-tuning framework, the threshold for getting started is extremely low, and users can experience the full power of the model without expensive arithmetic, making it suitable for rapid deployment and secondary development.

What is Intern-S1-mini's official website?

• Official website address:: https://chat.intern-ai.org.cn/
• GitHub Repositories:: https://github.com/InternLM/Intern-S1
• HuggingFace Model Library:: https://huggingface.co/internlm/Intern-S1-mini

People for whom Intern-S1-mini is suitable

• (scientific) researcher: Suitable for professionals engaged in research in chemistry, materials, physics, biology and other scientific fields, it can help them quickly process and analyze scientific data and accelerate the research process.
• developers: Suitable for software developers who need to integrate multimodal functionality in their products or applications, allowing for quick validation of ideas and secondary development to enhance the intelligence of the application.
• educator: Provide pedagogical support for teachers and educational institutions to help students intuitively understand the principles and applications of multimodal macromodels, and to enrich the content and methods of teaching.
• schoolchildren: In particular, students in the fields of computer science, artificial intelligence, and natural sciences can enhance their professional skills through hands-on learning about the application and development of multimodal models.
• business user: For organizations that need to apply AI technology in their business, the Intern-S1-mini provides an efficient and cost-effective solution that helps to enhance their competitiveness.