Ling-3.1-flash-base is now on ModelScope with 1M context, 560B total parameters, and 25B active per token.
🤖 https://modelscope.ai/models/inclusionAI/Ling-3.1-flash-base
🧠 Built to be adapted: Start from the base checkpoint for continued pre-training, supervised fine-tuning, and domain-specific post-training.
📚 Built for long-horizon work: A 1M-token context window gives custom systems room to work across long documents, codebases, and multi-step workflows.
⚙️ Large capacity, sparse compute: Its hybrid MoE architecture stores 560B parameters while activating about 25B parameters per token.
🛠️ Make it your own: Shape domain terminology, output conventions, task behavior, and assistant policies for the workflows you need.
📜 MIT License.