Thinking Machines Lab Makes Tinker Generally Available: Adds Kimi K2 Thinking And Qwen3-VL Vision Input

Thinking Machines Lab has announced the general availability of its Tinker training API, which now supports the Kimi K2 Thinking reasoning model, OpenAI-compatible sampling, and image input via Qwen3-VL vision language models. This development enhances Tinker's utility for AI engineers by enabling fine-tuning of large language models without the need for complex distributed training infrastructure, simplifying the process through a straightforward Python interface that maps training loops onto GPU clusters. Tinker functions as a lightweight, user-friendly API that abstracts the complexities of distributed training, focusing on large language model fine-tuning with minimal setup. It