Adapting models to Q, a language used in finance
A technical report dated January 9, 2026 presents an open-source approach to adapting language models to Q, a programming language used in quantitative finance.
Source: Fine-tuning full-stack para a linguagem de programação Q (arxiv.org). Text prepared with AI from this source.
What happened and what to do
Published on January 9, 2026, the technical report presents an open-source approach to adapting language models to Q, which is used in quantitative finance. It addresses the challenge of applying these models to niche languages that are underrepresented in training data; the provided material does not detail performance metrics or results.
A company using Q could assess the approach with a controlled set of real tasks, compare the adapted model with alternatives, and monitor errors before integrating it into development workflows. Implementation could include data preparation, evaluation, and a private inference API on the company's infrastructure.
How the consultancy can help
Wendelmaques can diagnose use cases and security requirements, define an evaluation for Q, and scope the implementation and operation of an adaptation, testing, and inference pipeline on the client's infrastructure.
Next step
Send a short description of your Q use case to receive a proposal scoped for diagnosis and implementation.
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