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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.
AtomicChat 发布了 inclusionAI Ling 3.1 flash 的 GGUF 量化版本，采用其自研的 Atomic Dynamic 布局与公开校准语料，覆盖从 Q8_0 到实验性 1-bit 的多种量化档位，可在 llama.cpp 上本地运行。
A user shares their setup using Ling 3.0 Tiny as an auxiliary model for Hermes (Qwen 3.8 27B) to handle simple tasks like context compression and summarization, improving speed and efficiency without quality loss.
This post describes two configuration flags that increase the official Ling-3.0-flash INT4 inference speed from 20.8 to 38.7 tok/s on a single DGX Spark, while warning about the need for a specific vLLM fork and noting tradeoffs with long-context performance.
This technical report introduces Ling and Ring 2.6, a family of large language models at the trillion-parameter scale designed for efficient and instant agentic intelligence.