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Tinker

Tinker

Control every aspect of model training and fine-tuning

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135 Upvotes

About

Tinker is a training API developed by Thinking Machines that allows developers and researchers to control every aspect of model training and fine-tuning, while the platform handles the underlying infrastructure. It supports a broad selection of open-source models (Qwen, Llama, GPT-OSS, DeepSeek, Moonshot) and utilizes LoRA for efficient fine-tuning. Key functionalities include `forward_backward`, `optim_step`, `sample`, and `save_state`. The service is priced per million tokens for prefill, sample, and train operations.


Color Palette

White

#FFFFFF

70%

Dark Grey

#333333

20%

Primary Blue

#007BFF

10%

Typography

Sans-serif

Heading, Body

Aa

Design Review

The design of the Tinker landing page is clean, functional, and highly professional, aligning well with its technical audience of developers and researchers. It employs a light theme with a predominantly white background and dark grey text, ensuring excellent readability. The use of a consistent primary blue for links and call-to-action buttons provides clear visual cues for interaction. Typography is a modern sans-serif, contributing to a crisp and contemporary feel. Icons are used effectively to visually represent the core API functions, enhancing comprehension. The layout is straightforward and well-organized, presenting complex information in an accessible manner, from feature descriptions to supported models, FAQs, and a transparent pricing structure. The overall aesthetic is minimal and focused, prioritizing content and usability over elaborate visual flair, which is appropriate for a developer-centric tool.

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