ModelOpt 0.47.0 introduces FP8 Vision Encoder recipes for qwen3_vl and qwen3_5 models.

The official source reports this update: ModelOpt 0.47.0 Release. New Features Quantization ONNX quantization with Autotune now benchmarks placements in the requested runtime precision and retains calibrated INT8/FP8 Q/DQ only when it meets the configured TensorRT speedup threshold (1.02x by default); otherwise it saves the high-precision no-Q/DQ model. Add a Muse Glimmer AutoQuantize recipe that searches language-model MLP projections, self-attention projections, and lm_head over W4A16 NVFP4 Four-Over-Six, FP8, and BF16 fallback at 5.5 effective bits while leaving the vision tower unquantized.