Add QwQ 32B to vllm-benchmark.rst (#4685)

* Add Qwen2 MoE 2.7B to vllm-benchmark-models.yaml

* Add QwQ-32B-Preview to vllm-benchmark-models.yaml

* add links to performance results

words

* change "performance validation" to "performance testing"

* remove "-Preview" from QwQ-32B

* move qwen2 MoE after qwen2

* add TunableOp section

* fix formatting

* add link to TunableOp doc

* add tunableop note

* fix vllm-benchmark template

* remove cmdline option for --tunableop on

* update docker details

* remove "training"

* remove qwen2

docs/data/how-to/rocm-for-ai/inference/vllm-benchmark-models.yaml

@@ -102,6 +102,12 @@ vllm_benchmark:
         model_repo: Qwen/Qwen2-72B-Instruct
         url: https://huggingface.co/Qwen/Qwen2-72B-Instruct
         precision: float16
+      - model: QwQ-32B
+        mad_tag: pyt_vllm_qwq-32b
+        model_repo: Qwen/QwQ-32B
+        url: https://huggingface.co/Qwen/QwQ-32B
+        precision: float16
+        tunableop: true
     - group: DBRX
       tag: dbrx
       models: