The NovaSky team at UC Berkeley presents Sky-T1-32B-Preview, an open-source reasoning model achieving performance comparable to o1-preview at a significantly lower cost. This was accomplished by training a 32B parameter model using readily available open-source resources and a carefully curated dataset, including data from math and coding benchmarks. The researchers openly share their data, code, and model weights to foster collaboration and further development within the open-source community. Their findings highlight the importance of model size and data diversity in achieving strong reasoning capabilities, paving the way for more accessible and affordable advanced AI models.

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