flattune is an open-source CLI tool for orchestrating the fine-tuning of language models on Flatseek knowledge bases. It supports Lora and GGUF, enabling machine learning engineers to automate and manage model training workflows efficiently.
flattune sits in PulseGate's Fine-tuning & training category. It focuses on automating and managing the fine-tuning process for knowledge base LLMs. It is built as an open-source project for machine learning engineers and developers. flattune is open source under the Apache-2.0 license. flattune is available on the web and the command line, and it can be self-hosted.
Flatseek builds and maintains flattune, and it first shipped in 2026. The project is developed in the open on GitHub with 13 commits in the last 90 days. Among its 5 catalogued features are fine-tuning orchestration, knowledge base integration, and lora support.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Same category — not a similarity match