High-throughput deployment use cases
Hi codelion, the Dhara-70M model is a very interesting breakthrough in diffusion-based language modeling. Achieving 3.8x higher throughput than autoregressive models while maintaining competitive factuality on TruthfulQA is a significant result for high-volume batch processing use cases.
We're currently building out infrastructure at AlphaNeural to support novel architectures that prioritize throughput and efficiency. We'd love to chat about how we can help benchmark and deploy Dhara-70M for developers looking for high-speed text generation. The WSD conversion approach is also a very clever way to improve training efficiency!
This particular checkpoint is a research prototype, in future we may release a bigger model trained on a much larger dataset that would be more efficient.