Update README.md with Qwen3 Support (#1891)

SUMMARY:
- Need to update links when the following PRs land:

1. #1886
2. #1874
3. #1889

Author: dsikka

README.md

@@ -37,6 +37,7 @@ Big updates have landed in LLM Compressor! To get a more in-depth look, check ou
 
 Some of the exciting new features include:
 
+* **Qwen3 Next and Qwen3 VL MoE Quantization Support**: Quantize the Qwen3 Next and Qwen3 VL MoE models and seamlessly run the models in vLLM. Examples for [NVFP4](examples/quantization_w4a4_fp4/qwen3_next_example.py) and [FP8](examples/quantization_w8a8_fp8/qwen3_next_example.py) Quantization have been added for the Qwen3-Next-80B-A3B-Instruct. For the Qwen3 VL MoE, support has been added for the datafree pathway, specifically [FP8 Quantization](examples/quantization_w8a8_fp8/qwen3_vl_moe_fp8_example.py) (e.g channel-wise and block-wise quantization). NOTE: these models are not supported in tranformers<=4.56.2. You may need to install transformers from source.
 * **Quantization with Multiple Modifiers**: Multiple quantization modifiers can now be applied to the same model for mixed-precision quantization, for example applying AWQ W4A16 to a model's `self_attn` layers and GPTQ W8A8 to its `mlp` layers. This is an advanced usage of `llm-compressor` and an active area of research. See the [non-uniform quantization support](examples/quantization_non_uniform) section for more detail and [example usage](examples/quantization_non_uniform/quantization_multiple_modifiers.py).
 * **QuIP and SpinQuant-style Transforms**: The newly added [`QuIPModifier`](examples/transform/quip_example.py) and [`SpinQuantModifier`](examples/transform/spinquant_example.py) allow users to quantize their models after injecting hadamard weights into the computation graph, reducing quantization error and greatly improving accuracy recovery for low bit weight and activation quantization.
 * **DeepSeekV3-style Block Quantization Support**:  This allows for more efficient compression of large language models without needing a calibration dataset. Quantize a Qwen3 model to [W8A8](examples/quantization_w8a8_fp8/fp8_block_example.py).