inkling thinking-machines-lab huggingface vllm_project lmsysorg modal baseten databricks mixture-of-experts multimodality foundation-models model-licensing context-window open-weights model-release miramurati soumithchintala johnschulman2 lilianweng natolambert artificialanlys scaling01
Thinking Machines Lab launched Inkling, its first fully released open-weights foundation model family, featuring 975B parameters with 41B active parameters in a Mixture-of-Experts architecture. Inkling supports multimodality with text, image, and audio inputs and text output, is Apache 2.0 licensed, and offers up to 1M context window. The model is available on platforms like Tinker, Hugging Face, and partners, with broad ecosystem support from vLLM, SGLang, Modal, Baseten, and Databricks. Key figures such as Mira Murati, Soumith Chintala, John Schulman, and Lilian Weng highlighted its open weights, customization, and practical use focus. Independent commentators noted it as the strongest U.S.-based open-weight release to date, though still behind top Chinese open-weight and best closed models on some benchmarks.