fix lisa finetune example (#12775)

python/llm/example/GPU/LLM-Finetuning/LISA/README.md

@@ -13,10 +13,8 @@ conda create -n llm python=3.11
 conda activate llm
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-pip install bitsandbytes==0.43.0
-pip install datasets==2.18.0
-pip install --upgrade transformers==4.36.0
-pip install scipy fire
+pip install transformers==4.45.0 "trl<0.12.0" datasets
+pip install bitsandbytes==0.45.1 scipy fire
 ```
 
 ### 2. LISA Finetune

python/llm/example/GPU/LLM-Finetuning/LISA/lisa_finetuning.py

@@ -90,9 +90,10 @@ def train(
     model = AutoModelForCausalLM.from_pretrained(
         base_model,
         load_in_low_bit="bf16",
-        optimize_model=True,
+        optimize_model=False,
         torch_dtype=torch.bfloat16,
-        trust_remote_code=True
+        trust_remote_code=True,
+        modules_to_not_convert=["lm_head"],     # avoid optimize lm_head
     )
 
     model = model.to("xpu")