AllenAI
allenai-a8a80a7e·3 events·first seen 1mo agoAliases: AllenAI
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EMO: Pretraining Mixture of Experts for Emergent Modularity
AllenAI introduces EMO, a pretraining approach for Mixture of Experts (MoE) models that aims to produce emergent modularity during training. The work explores how MoE architectures can develop specialized expert routing without explicit supervision. Published on the Hugging Face blog, this represents research-level work on improving MoE training dynamics and efficiency.
OlmoEarth v1.1: A More Efficient Family of Models
AllenAI has released OlmoEarth v1.1, described as a more efficient family of models, published via the Hugging Face blog. The post appears to detail improvements in model efficiency for the OlmoEarth line, which is focused on Earth/geoscience domains. As an open-weights release from a major academic AI lab, it continues the trend of domain-specialized open models.
AllenAI releases olmo-eval evaluation workbench for model development
AllenAI published a blog post on Hugging Face introducing olmo-eval, an evaluation workbench designed to integrate into the model development loop. The tool appears aimed at streamlining evaluation workflows for researchers iterating on open-weights models. This is relevant to the OLMo model family ecosystem and the broader open-weights evaluation infrastructure space.