ByteDance releases Seed-OSS-36B with 512K token context
ByteDance has released Seed-OSS-36B, an open-source large language model with a native context length of 512,000 tokens. The model achieves leading open-source results in math, reasoning, and coding tasks while also supporting efficient deployment through quantization.
ByteDance’s Seed Team published the Seed-OSS-36B family under the Apache-2.0 license, making it available to developers and enterprises without usage restrictions. The models are trained to handle long documents natively, extending context support to half a million tokens. This capacity allows users to process entire books or large codebases without fine-tuning or external retrieval setups.
The instruct-tuned version, Seed-OSS-36B-Instruct, scores at the top of open-source leaderboards for reasoning, math, and code benchmarks. According to ByteDance, it also performs competitively on general natural language understanding while maintaining efficiency in long-context scenarios.
Deployment options include 4-bit and 8-bit quantization supported by Hugging Face Transformers and vLLM. These features are aimed at reducing memory requirements and making the model accessible for a wider range of production environments.
The release positions ByteDance as a major contributor to the open-source LLM ecosystem. For researchers, it offers a high-capacity model for experiments in reasoning and long-context workflows. For enterprises, it reduces infrastructure hurdles while extending the scope of AI applications such as document analysis, legal review, and large-scale code reasoning.
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