The transformers vLLM backend now meets or beats native throughput on Qwen3 4B dense, 32B dense, and 235B-parameter FP8 MoE models, using torch.fx static analysis and ast source rewriting to apply inference-specific layer fusions at runtime.
Added to The Deploy Log , updated . Read Edition 42, the edition that carried it.
70 rows from Hugging Face in The Deploy Log are dated on or before this one, this one included.