Seed-OSS - A new AI model open-sourced by the Wordpress team

What is Seed-OSS?

Seed-OSS is a large family of language models open-sourced by the Byte Jump Seed team, focusing on long text and reasoning tasks. The model performs well in complex logical reasoning and multi-step reasoning, with high accuracy, and can solve difficult problems efficiently.Seed-OSS supports up to 512K long text contexts, with flexible thinking budget control, suitable for long text generation, summarization and analysis tasks.Seed-OSS intelligent agent is very capable of combining external resources to complete complex tasks.Seed-OSS-36B is the the main version, optimized with Grouped Query Attention mechanism and SwiGLU for efficient training and flexible inference.Seed-OSS supports 4-bit and 8-bit quantization, which significantly reduces memory occupation and improves inference speed. Users are able to fine-tune it according to specific tasks, with a wide range of application scenarios, including content creation, intelligent customer service, and educational assistance.

Features of Seed-OSS

• reasoning ability: Performs well in complex logic and multi-step reasoning tasks, with high inference accuracy and quick conclusions.
• Long Text Support: Supports long text contexts up to 512K, suitable for tasks such as long text generation, summarization and analysis, and capable of handling complex long text content.
• Intelligent Agents: Excellent intelligent agent capability, able to combine external resources to accomplish complex tasks and improve overall work efficiency.

Core Benefits of Seed-OSS

• Flexible inference length control: Support users to dynamically adjust the inference length according to the task requirements, balancing the inference efficiency and result quality, adapting to the needs of different scenarios.
• Efficient quantitative techniques: Supports 4-bit and 8-bit quantization techniques to significantly reduce the memory footprint of the model and improve inference speed.
• Extensive pre-training models: Provides a variety of pre-trained models that users can fine-tune for specific tasks to meet the needs of different users.
• High quality data training: Prioritize high-quality data sources in the training process to avoid the introduction of noise from low-quality data and ensure the training effect of the model.
• Strong community support: As an open source project with active community support, users can access a wealth of resources and tools to quickly get up to speed and apply the model, facilitating its continuous improvement and optimization.

What is Seed-OSS's official website?

• GitHub repository:: https://github.com/ByteDance-Seed/seed-oss
• HuggingFace Model Library:: https://huggingface.co/collections/ByteDance-Seed/seed-oss-68a609f4201e788db05b5dcd

Who Seed-OSS is for

• content creator: Rapidly generate high-quality text content to help content creators produce creative text in a short period of time and improve creative efficiency.
• educator: To help teachers and educators to be more efficient in their teaching and learning assistance.
• (scientific) researcher: Help researchers quickly analyze data and generate research reports and papers.
• Intelligent Customer Service Team: Combining external resources to accomplish complex tasks, it serves as the core of an intelligent customer service system, automatically answering user questions and improving customer satisfaction.
• Corporate Analyst: To help organizations become more efficient in data analysis, market research and business intelligence.