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NVIDIA Releases Open-Source Dual-Tower AI Model, Text Generation Speed Increased by 2.42 Times, Image Quality Retained at 98.7%

NVIDIA released the Nemotron-Labs-TwoTower discrete diffusion language model, solving the problem of slow token-by-token generation speed in large models. The weights have been open-sourced on Huggingface. The model reuses pre-trained weights of existing backbone networks without the need for retraining from scratch, significantly reducing costs. It adopts a 60B dual-tower architecture, with two 30B networks working in parallel. Each tower activates 3B parameters and is equipped with 128 routable expert modules to improve generation efficiency.

18.9k 3 days ago
NVIDIA Releases Open-Source Dual-Tower AI Model, Text Generation Speed Increased by 2.42 Times, Image Quality Retained at 98.7%

Performance Improved by Over Two Times: NVIDIA Releases Nemotron-Labs-TwoTower Diffusion Language Model

Nvidia open-sourced Nemotron-Labs-TwinTower diffusion language model, which uses a "twin tower" architecture to overcome the serial decoding bottleneck of autoregressive models. It splits generation into two subnetworks, one kept frozen, enabling parallel text generation and higher throughput, providing an efficient solution for large-scale synthesis tasks.....

17.5k 1 days ago
Performance Improved by Over Two Times: NVIDIA Releases Nemotron-Labs-TwoTower Diffusion Language Model
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