Tinker
Control every aspect of model training and fine-tuning
245 followers
Control every aspect of model training and fine-tuning
245 followers
Tinker is a flexible API for efficiently fine-tuning open source models with LoRA. It's designed for researchers and developers who want flexibility and full control of their data and algorithms without worrying about infrastructure management.
This is the 2nd launch from Tinker. View more
Inkling
Launched this week
Inkling is Thinking Machines’ first open-weights model, a 975B MoE with 41B active parameters, 1M context, native reasoning across text, images, and audio, and controllable thinking effort. Fine-tune it on Tinker or download the Apache 2.0 weights.
Free
Launch Team
finally an option that lets me skip the gpu setup dance and just get to the actual tuning. ran a small lora job last night and it just worked, which honestly surprised me
LoRA is great, but supporting full fine-tuning or QLoRA as a built-in option would make this way more useful for folks working on smaller models where LoRA just doesn't cut it.
Really interesting approach. What's the minimum dataset size you'd recommend for effective domain fine-tuning?
Fedica
As someone who's never trained an AI before, it seems pretty approachable. You fine-tune open models on your own data, and they handle the heavy infrastructure stuff. Inkling also feels like it's meant to be adapted to your workflow. Good idea