This researcher works in a group where each person handles up to three projects, each with a different report structure. They built a web tool around a local Qwen 3.8 9B model on an RTX 4060 to detect which fields a given report needs and fill them from the group's own experimental data.
The workflow is deliberately simple rather than fully generative: chunk data into a database, retrieve from it with a multimodal RAG, detect the report structure, match data to that structure, align each field, then produce the report deck or document. They did not trust the model to build everything from scratch because that was too heavy for a local model. The payoff is less time on paperwork and more confidence that confidential data stays in-house.
Reported anonymously by an r/LocalLLM contributor · score 1