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Microsoft launches Phi-4-Reasoning-Plus, a small, powerful, open weights reasoning model!
The release demonstrates that with carefully curated data and training techniques, small models can deliver strong reasoning performance.
The model has been released under a permissive MIT license — enabling its use for broad commercial and enterprise applications, and fine-tuning or distillation, without restriction — and is compatible with widely used inference frameworks including Hugging Face Transformers, vLLM, llama.cpp, and Ollama. Its demonstrated ability to generalize to out-of-domain problems, including NP-hard tasks like 3SAT and TSP, suggests utility in algorithmic planning and decision support use cases beyond those explicitly targeted during training. For technical decision-makers tasked with managing performance, scalability, cost, and risk, it offers a modular, interpretable alternative that can be evaluated and integrated on a flexible basis—whether in isolated inference endpoints, embedded tooling, or full-stack generative AI systems.
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