Welcome Inkling by Thinking Machines

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Inkling now comes in smaller size 🤗 Inkling-Small is out by Thinking Machines Lab. We have updated this post with performance, and deployment configurations for the Inkling-Small and the Inkling-Small-NVFP4 variants. Here’s the collection with all the Inkling models. We made it easier for you to deploy Inkling-Small with one-click on Inference Endpoints (getting up to 160 TPS). We also ship a real-time voice and image demo where you can interact with the model. Inkling is a large (1T params!) open model to natively accept image, text, and audio inputs. TLDR; Inkling by Thinking Machines…

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• Devin Plumb

related reading

• Inkling: Our Open-Weights Model - Thinking Machines Labthinkingmachines.ai
• Just get to the point.aimatey.co
• What Thinking Machines’ Inkling Is Really Like, Part Isemaphore.substack.com
• Inklingthinkingmachines.ai
• This $12 billion startup finally shipped something...youtube.com
• A Safe Path to Open Weights - Thinking Machines Labthinkingmachines.ai
• Interaction Models: A Scalable Approach to Human-AI Collaboration - Thinking Machines Labthinkingmachines.ai
• LLM Inference Performance Engineering: Best Practices | Databricks Blogdatabricks.com
• GitHub - JustVugg/colibri: Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦github.com
• Anatomy of a Modern Finetuning APIbenanderson.work
• Llama 2 · Hugging Facehuggingface.co
• Tiny Interaction Models - Rajan Agarwalrajan.sh