MiniHF is an inference, human preference data collection, and fine-tuning tool for local language models. It is intended to help the user develop their prompts into full models. Normally when we prompt a language model we're forced to think in that models latent space. MiniHF lets you go the other direction: Imagine the ideal context in which your prompt could take place and then add it to the model. To make this possible MiniHF provides several powerful features:

If you want to discuss MiniHF with other users, we have a discord server.