# GPU-efficient inference

The BAGEL-7B-MoT model utilizing DFloat11 lossless compression technology reduces volume by 32% while maintaining bit-level output consistency

Paraformer is an innovative non-autoregressive end-to-end speech recognition model with significant advantages over traditional autoregressive models. It can generate entire target sentences in parallel, making it particularly suitable for GPU-accelerated parallel inference.

GPT-J 6B is a Transformer model based on the GPT-3 architecture, featuring 6 billion parameters and supporting text generation tasks.