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Stop reimplementing multimodal models: TorchUMM offers a unified codebase for evaluation, analysis, and post-training, streamlining research across diverse architectures and tasks.
Training Gemini-scale models just got a whole lot faster: veScale-FSDP boosts throughput by up to 66% and cuts memory use by 30% compared to existing FSDP implementations.