Rohan Paul· @rohanpaul_ai · X·· 2026-07-31AI 评分57
AI 导读
Thinking Machines 发布开源权重模型 Inkling-Small，总参数量 276B、每 token 激活 12B，仅为 Inkling 激活参数（41B）的三分之一。该模型在 HLE 上以 31.6% 超过更大的 Inkling（29.7%），SWE-bench Verified 达 80.2%，并针对音频智能优化了预训练混合、知识蒸馏及两周智能体编码 RL。
正文 · 原文
Thinking Machines released open-weight model Inkling-Small, cuts Inkling’s active parameter count from 41B to 12B per token.
Pushed ahead of the larger Inkling on HLE, 31.6% versus 29.7%, and to 80.2% on SWEBench Verified, while activating less than one-third as many parameters.
The model also received a revised pretraining mix, distillation from Inkling, and two additional weeks of agentic coding RL.
They said that they crafted Inkling-Small for audio intelligence, making it a good candidate for real-world audio applications.
Today, we are releasing Inkling-Small. Inkling-Small achieves comparable performance to Inkling at a quarter of its size. It features 276B total parameters, 12B active. We are making the full weights available. https://thinkingmachines.ai/news/inkling-small/ Fine-tune it on Tinker today, or chat with it in text, image, and audio on Tinker Playground.在 X 查看被引用的帖子
来源：Rohan Paul · x.com