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Ling-3.0-tiny
Ling-3.0-tiny, a lightweight hybrid reasoning MoE model with 7.9B total parameters and only 1.3B activated parameters per token. It is designed to deliver strong reasoning and agentic capabilities at low inference cost, making advanced model capabilities.
thinking202 Pulls 1 Tag Updated 2 weeks ago
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Ling-3.0-flash
Ling-3.0-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token. The model is designed with token efficiency and production-scale agentic inference as key priorities.
82 Pulls 2 Tags Updated 2 weeks ago