Ant Ling just announced a second model today: Ling-3.0-flash-Sante (124B, 5.1B active)
Summary
InclusionAI (Ant Group) announced Ling-3.0-flash-Sante, a 124B-parameter (5.1B active) healthcare-focused model with a 256K context window for medical reasoning, literature research, and tool-assisted workflows, with weights released on Hugging Face.
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@AdinaYakup: Ant group keeps shipping They just released weights for Ling-3.0-flash-Sante A new open medical reasoning model - 124B/…
蚂蚁集团发布了 Ling-3.0-flash-Sante 的模型权重,这是一个开放的医疗推理模型,采用 124B 总参数 / 5.1B 激活参数的 MoE 架构,支持 256K 上下文,采用 MIT 许可证,具备 agentic 深度研究与工具使用能力。
@Chinazhidx: Ant Group just released Ling-3.0-flash • 124B MoE • 5.1B active params/token • 256K context, expandable to 1M Just 1/8 …
Ant Group released Ling-3.0-flash, a 124B MoE model with 5.1B active parameters per token and 256K context expandable to 1M, matching or outperforming their 1T flagship model on most benchmarks.
inclusionAI/Ling-3.0-flash-Sante · Hugging Face
蚂蚁集团 inclusionAI 发布医疗专用模型 Ling-3.0-flash-Sante,基于 Ling-3.0-flash 构建,采用 124B 总参数/5.1B 激活参数的混合线性 MoE 架构,支持 256K 长上下文,面向医疗推理、深度研究和工具辅助工作流,权重已在 Hugging Face 与 ModelScope 开放。
@AntLingAGI: Introducing Ling-2.6-flash, an instruct model with 104B total parameters and 7.4B active parameters. Ling-2.6-flash is …
Ling-2.6-flash is a 104B-total/7.4B-active sparse instruct model optimized for token efficiency, aiming to cut costs and boost throughput on agent tasks.
@AdinaYakup: Ling 3.0 flash a native hybrid-linear reasoning model from @AntLingAGI Ling series is built around: strong reasoning pe…
AntLingAGI announces Ling 3.0 flash, a native hybrid-linear reasoning model with 124B total parameters and 5.1B active, MIT-licensed, claiming to match a 1T flagship with much less compute and faster response times.