Update changelog

Signed-off-by: gcunhase <[email protected]>

Author: gcunhase

CHANGELOG.rst

@@ -7,12 +7,14 @@ Model Optimizer Changelog (Linux)
 **Bug Fixes**
 
 - Fix a bug in FastNAS pruning (computer vision models) where the model parameters were sorted twice messing up the ordering.
+- Fix Q/DQ/Cast node placements in 'FP32 required' tensors in custom ops in the ONNX quantization workflow.
 
 **New Features**
 
 - Add MoE (e.g. Qwen3-30B-A3B) pruning support for ``num_moe_experts``, ``moe_ffn_hidden_size`` and ``moe_shared_expert_intermediate_size`` parameters in Minitron pruning (``mcore_minitron``).
 - Add ``specdec_bench`` example to benchmark speculative decoding performance. See `examples/specdec_bench/README.md <https://github.com/NVIDIA/TensorRT-Model-Optimizer/tree/main/examples/specdec_bench#speculative-decoding-benchmark>`_ for more details.
 - Add FP8/NVFP4 KV cache quantization support for Megatron Core models.
+- Add flag ``trt_plugins_precision`` in ONNX autocast to indicate custom ops precision. This is similar to the flag already existing in the quantization workflow.
 
 0.39 (2025-11-11)
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