changelog updates

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

Author: realAsma

CHANGELOG.rst

@@ -14,6 +14,7 @@ Model Optimizer Changelog (Linux)
 - Add MoE (e.g. Qwen3-30B-A3B, gpt-oss-20b) 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 KL Divergence loss based auto_quantize method. See `auto_quantize API docs <https://nvidia.github.io/TensorRT-Model-Optimizer/reference/generated/modelopt.torch.quantization.model_quant.html#modelopt.torch.quantization.model_quant.auto_quantize>`_ for more details.
 - 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.
 - Add support for PyTorch Geometric quantization.