qforge-dev/torque

Torque is a Declarative, typesafe DSL for building synthetic LLM datasets — compose conversations like React components

36
/ 100
Emerging

Torque helps AI developers quickly build large, realistic datasets for training or evaluating Large Language Models (LLMs). You define conversation patterns using a declarative language, and the tool then generates varied examples of these conversations. This is used by AI engineers, machine learning scientists, and prompt engineers to efficiently create diverse conversation data without manual scripting.

Use this if you need to create diverse, high-quality synthetic conversation datasets for your LLMs with less manual effort and more consistency.

Not ideal if you are a non-developer or if your primary need is for very small, hand-crafted datasets where programmatic generation is overkill.

LLM-training prompt-engineering AI-dataset-generation conversation-modeling machine-learning-engineering
No Package No Dependents
Maintenance 6 / 25
Adoption 9 / 25
Maturity 13 / 25
Community 8 / 25

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Stars

89

Forks

5

Language

TypeScript

License

MIT

Last pushed

Nov 19, 2025

Commits (30d)

0

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