LLM：Add qwen moe example libs md (intel-analytics#10828)

python/llm/example/CPU/HF-Transformers-AutoModels/Model/qwen1.5/README.md

@@ -15,6 +15,10 @@ conda activate llm
 
 pip install --pre --upgrade ipex-llm[all] # install ipex-llm with 'all' option
 pip install transformers==4.37.0 # install the transformers which support Qwen2
+
+# only for Qwen1.5-MoE-A2.7B
+pip install transformers==4.40.0
+pip install trl==0.8.1
 ```
 
 ### 2. Run

python/llm/example/CPU/PyTorch-Models/Model/qwen1.5/README.md

@@ -16,6 +16,10 @@ conda activate llm
 
 pip install --pre --upgrade ipex-llm[all] # install the latest ipex-llm nightly build with 'all' option
 pip install transformers==4.37.0 # install transformers which supports Qwen2
+
+# only for Qwen1.5-MoE-A2.7B
+pip install transformers==4.40.0
+pip install trl==0.8.1
 ```
 
 ### 2. Run

python/llm/example/GPU/HF-Transformers-AutoModels/Model/qwen1.5/README.md

@@ -16,6 +16,10 @@ conda activate llm
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
 
 pip install transformers==4.37.0 # install transformers which supports Qwen2
+
+# only for Qwen1.5-MoE-A2.7B
+pip install transformers==4.40.0
+pip install trl==0.8.1
 ```
 
 #### 1.2 Installation on Windows

python/llm/example/GPU/PyTorch-Models/Model/qwen1.5/README.md

@@ -30,6 +30,10 @@ pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
 
 pip install transformers==4.37.0 # install transformers which supports Qwen2
+
+# only for Qwen1.5-MoE-A2.7B
+pip install transformers==4.40.0
+pip install trl==0.8.1
 ```
 
 ### 2. Configures OneAPI environment variables for Linux