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Microsoft·Nov 1, 2025·v4·paid
OptiMind-SFT
OptiMind-SFT is a specialized 20-billion parameter model developed by Microsoft Research's Machine Learning and Optimization (MLO) Group. It automates the translation of complex decision-making problems, such as supply chain planning and resource allocation, into correct Mixed-Integer Linear Programming (MILP) formulations.
Infrastructure
overview
OptiMind-SFT is a specialized 20-billion parameter model developed by Microsoft Research's Machine Learning and Optimization (MLO) Group. It automates the translation of complex decision-making problems, such as supply chain planning and resource allocation, into correct Mixed-Integer Linear Programming (MILP) formulations.
key features
- 01Automates translation of natural language optimization problems into MILP formulations
- 02Generates executable Python code using GurobiPy
- 03Supports context lengths up to 128,000 tokens
- 04Trained on cleaned subsets of OR-Instruct and OptMATH datasets
- 05Utilizes a Mixture-of-Experts (MoE) variant of the transformer architecture
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