Mira Murati's Thinking Machines Lab makes Tinker, its API for fine-tuning language models, generally available, adds support for Kimi K2 Thinking, and more
Tinker is a dream for multi-agent setups, Nathan Lambert / @natolambert : Please add olmo3 @johnschulman2 et al. The goal is to make it the foundational research infrastructure for academic LLM work. Would love to have it be seamless with Tinker! Rowan Zellers / @rown : Today we are releasing Tinker to everyone, and now with vision input! You can now finetune a frontier Qwen3-VL-235B on your own image+text data, bringing your own algorithm (sft, RL, something else?). We'll take care of the GPU infra. Full update: https://thinkingmachines.ai/ ... Devendra Chaplot / @dchaplot : Tinker is now open to everyone! We are also adding: - Vision support with Qwen3-VL - New model: Kimi K2 Thinking (1T params) - OpenAI API-compatible inference Start training models within minutes: https://thinkingmachines.ai/ ... Mira Murati / @miramurati : We're making Tinker generally available with new models and features. @thinkymachines : Tinker is now generally available. We also added support for advanced vision input models, Kimi K2 Thinking, and a simpler way to sample from models. https://thinkingmachines.ai/ ... LinkedIn: Devendra Chaplot : Tinker is now open to everyone! — We are also adding: — Vision support with Qwen3-VL — New model: Kimi K2 Thinking (1T params) … Bluesky: Nate / @zzstoatzz.io : i made a little CLI to make this easy to try out the new Tinker API — you just need — uv — a Tinker API key (tinker-console.thinkingmachines.ai/ keys) — TINKER_API_KEY=<your-key> uvx —from git+https://github.com/zzstoatzz/ hello-tinker tinker-chat [embedded post]
Not sure if it's Tinker's SFT or Qwen3-VL-235B that's not good at this (and dino2 even worse?), but guys, ... fine-grained few-shot SFT we already did better than this in 2020 with good old BiT, which was 928M. (Colleagues made an internal “as-a-service” eventually too, lol!)
K2 thinking is the most interesting open weights writing model so I hope people do fun things fine tuning it. games, interactive storytelling ... I don't see enough of this stuff
in the past couple months of closed beta, Tinker has been used to solve Putnam, has powered our blog posts, and has been accelerating internal research! excited to see the innovation from making trillion-parameter RL broadly available — Tinker is a dream for multi-agent setups,
Please add olmo3 @johnschulman2 et al. The goal is to make it the foundational research infrastructure for academic LLM work. Would love to have it be seamless with Tinker!
Today we are releasing Tinker to everyone, and now with vision input! You can now finetune a frontier Qwen3-VL-235B on your own image+text data, bringing your own algorithm (sft, RL, something else?). We'll take care of the GPU infra. Full update: https://thinkingmachines.ai/ ...
Tinker is now open to everyone! We are also adding: - Vision support with Qwen3-VL - New model: Kimi K2 Thinking (1T params) - OpenAI API-compatible inference Start training models within minutes: https://thinkingmachines.ai/ ...
Tinker is now generally available. We also added support for advanced vision input models, Kimi K2 Thinking, and a simpler way to sample from models. https://thinkingmachines.ai/ ...
i made a little CLI to make this easy to try out the new Tinker API — you just need — uv — a Tinker API key (tinker-console.thinkingmachines.ai/ keys) — TINKER_API_KEY=<your-key> uvx —from git+https://github.com/zzstoatzz/ hello-tinker tinker-chat [embedded post]