Baseten launched a new safety infrastructure standard alongside its Base Labs research arm on Wednesday, partnering with Hugging Face and Goodfire AI to build safety evaluation and monitoring infrastructure for open-weight models. The announcement comes amid debate over the safety of open-weight models, which can be made dangerous by removing their safeguards through a technique known as abliteration. Hugging Face currently lists over 6,000 abliterated models. Base Labs, the research group Baseten spun up earlier this year, will develop and publish methods for training and monitoring open models, framing the work as a “standard” for open models that is transparent and built into how models are trained and deployed rather than bolted on afterward. “We believe openness to be an advantage for AI safety,” the company said on X, adding that openness provides more visibility into model behavior and greater means of turning safety research into actionable and transparent controls than closed-source. The companies haven’t disclosed how the partnership will work technically, though Goodfire said in a reply to Baseten’s post that “Safety must be built into open models and provided by those who serve them.” Baseten, an AI inference provider, raised a $1.5 billion Series F in June, vaulting its valuation to $13 billion, while Goodfire AI raised a $150 million Series B led by B Capital earlier this year. Baseten is putting out an open call to the broader developer ecosystem to contribute to the framework.