Tuned Tensor
Behaviour control infrastructure for open-weight language models.
Specify behaviour, fine-tune open-weight models, and use evaluation feedback to start the next run.
Workflow
- Specify behaviour: capture system prompts, guidelines, constraints, examples, and a base model in a structured spec.
- Fine-tune: compile training data and tune supported open-weight models.
- Evaluate: score outputs, inspect failures, and catch regressions.
- Iterate: use run feedback to refine the spec and start the next tuning pass.
Get started
npm i -g @tuned-tensor/cli
tt init
tt runs start <spec-id>Website · Docs · CLI · Agent skill