Thinking Machines releases Inkling-Small, an efficient open-weights model comparable to Inkling but smaller.

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    "post_text": "Today we're releasing Inkling-Small, an efficient open-weights model that achieves performs like Inkling at a quarter of its size.\n\nhttps://lnkd.in/gi6f4jgi\n\nInkling-Small began training after its larger counterpart, which let us improve its training process. As a result Inkling-Small achieves comparable performance with much less compute.\n\nWe believe Inkling-Small’s combination of broad performance and efficiency will make it easy to experiment with and test in real applications, and we’re excited to see what developers build with it.\n\nAs always, we want to thank our partners for their support, including NVIDIA, Google Cloud, Hugging Face, Together AI, Unsloth AI, Modal, Baseten, Fireworks AI, LightSeek Foundation, Inferact on VLLM, RadixArk on SGLang, Artificial Analysis, Prophet Arena, Design Arena, Arena, Scale AI, and ARC Prize Foundation.\n\nInkling and Inkling-Small are available on Tinker with a limited-time discount and can be chatted with on the Tinker Playground using text, image, and audio. We hope you give it a try.",
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