Web Reference: Feb 14, 2025 · We challenge this notion by introducing LLaDA, a diffusion model trained from scratch under the pre-training and supervised fine-tuning (SFT) paradigm. LLaDA employs a forward data masking process and a reverse generation process, parameterized by a Transformer to predict masked tokens. We introduce LLaDA (L arge La nguage D iffusion with m A sking), a diffusion model with an unprecedented 8B scale, trained entirely from scratch, rivaling LLaMA3 8B in performance. This submission presents LLaDA, a large-scale masked diffusion language model (8B parameters), claiming it as a viable alternative to autoregressive models like LLaMA3, with competitive performance on benchmarks like MMLU, GSM8K, and HumanEval, and advantages in reversal reasoning.
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