OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3.1 on English academic benchmarks.
Color theme: {theme}LightDarkSystemMatching articles: {count}Copied {identifier}Remove {label} filterServerlessAccessProvidersCreatorsTrainingRetentionHeadquartersGPU Cluster / DatacenterPoliciesAccess · RecommendedCreditsUse ShareAI credits to support GPU owners in exchange for the computing power they are not using.Your credits reward the people and companies sharing idle compute. We recommend this option to support more sustainable use of existing hardware.ShareAI combines technical safeguards with provider agreements to help protect your data.Token exchangeShareAI providers can serve inference for others and earn input and output tokens for the work they contribute. 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