Remove accelerate 0.23.0 install command in readme and docker (#11333)

*ipex-llm's accelerate has been upgraded to 0.23.0. Remove accelerate 0.23.0 install command in README and docker。

.github/workflows/llm_unit_tests.yml

@@ -381,7 +381,7 @@ jobs:
         shell: bash
         run: |
           python -m pip uninstall datasets -y
-          python -m pip install transformers==4.36.0 datasets peft==0.10.0 accelerate==0.23.0
+          python -m pip install transformers==4.36.0 datasets peft==0.10.0
           python -m pip install bitsandbytes scipy
           # Specific oneapi position on arc ut test machines
           if [[ "$RUNNER_OS" == "Linux" ]]; then

docker/llm/finetune/qlora/cpu/docker/Dockerfile

@@ -50,7 +50,6 @@ RUN mkdir -p /ipex_llm/data && mkdir -p /ipex_llm/model && \
     # install huggingface dependencies
     pip install datasets transformers==4.36.0 && \
     pip install fire peft==0.10.0 && \
-    pip install accelerate==0.23.0 && \
     pip install bitsandbytes && \
     # get qlora example code
     cd /ipex_llm && \

docker/llm/finetune/qlora/cpu/docker/Dockerfile.k8s

@@ -63,7 +63,6 @@ RUN mkdir -p /ipex_llm/data && mkdir -p /ipex_llm/model && \
     # install huggingface dependencies
     pip install datasets transformers==4.36.0 && \
     pip install fire peft==0.10.0 && \
-    pip install accelerate==0.23.0 && \
     # install basic dependencies
     apt-get update && apt-get install -y curl wget gpg gpg-agent && \
     # Install Intel oneAPI keys.

docker/llm/finetune/xpu/Dockerfile

@@ -41,7 +41,7 @@ RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRO
     rm -rf IPEX-LLM && \
     # install transformers & peft dependencies
     pip install transformers==4.36.0 && \
-    pip install peft==0.10.0 datasets accelerate==0.23.0 && \
+    pip install peft==0.10.0 datasets && \
     pip install bitsandbytes scipy fire && \
     # Prepare accelerate config
     mkdir -p /root/.cache/huggingface/accelerate && \

docs/readthedocs/source/doc/LLM/Quickstart/axolotl_quickstart.md

@@ -216,7 +216,6 @@ pip install -e .
 # 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/
 # install transformers etc
-pip install accelerate==0.23.0
 # to avoid https://github.com/OpenAccess-AI-Collective/axolotl/issues/1544
 pip install datasets==2.15.0
 pip install transformers==4.37.0

python/llm/example/CPU/QLoRA-FineTuning/README.md

@@ -22,7 +22,6 @@ pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pyt
 pip install transformers==4.36.0
 pip install peft==0.10.0
 pip install datasets
-pip install accelerate==0.23.0
 pip install bitsandbytes scipy
 ```
 

python/llm/example/CPU/QLoRA-FineTuning/alpaca-qlora/README.md

@@ -10,7 +10,6 @@ conda activate llm
 pip install --pre --upgrade ipex-llm[all]
 pip install datasets transformers==4.36.0
 pip install fire peft==0.10.0
-pip install accelerate==0.23.0
 pip install bitsandbytes scipy
 ```
 

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

@@ -19,7 +19,6 @@ 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==4.36.0 datasets
 pip install trl peft==0.10.0
-pip install accelerate==0.23.0
 pip install bitsandbytes
 ```
 

python/llm/example/GPU/LLM-Finetuning/HF-PEFT/README.md

@@ -17,7 +17,6 @@ pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-exte
 pip install transformers==4.36.0 datasets
 pip install fire peft==0.10.0
 pip install oneccl_bind_pt==2.1.100 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/ # necessary to run distributed finetuning
-pip install accelerate==0.23.0
 pip install bitsandbytes scipy
 ```
 

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

@@ -13,7 +13,6 @@ 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 accelerate==0.23.0
 pip install bitsandbytes==0.43.0
 pip install datasets==2.18.0
 pip install --upgrade transformers==4.36.0

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

@@ -15,7 +15,6 @@ pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-exte
 pip install transformers==4.36.0 datasets
 pip install fire peft==0.10.0
 pip install oneccl_bind_pt==2.1.100 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/ # necessary to run distributed finetuning
-pip install accelerate==0.23.0
 pip install bitsandbytes scipy
 ```
 

python/llm/example/GPU/LLM-Finetuning/QA-LoRA/README.md

@@ -15,7 +15,6 @@ pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-exte
 pip install transformers==4.36.0 datasets
 pip install fire peft==0.10.0
 pip install oneccl_bind_pt==2.1.100 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/ # necessary to run distributed finetuning
-pip install accelerate==0.23.0
 pip install bitsandbytes scipy
 ```
 

python/llm/example/GPU/LLM-Finetuning/QLoRA/alpaca-qlora/README.md

@@ -18,7 +18,6 @@ pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-exte
 pip install transformers==4.36.0 datasets
 pip install fire peft==0.10.0
 pip install oneccl_bind_pt==2.1.100 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/ # necessary to run distributed finetuning
-pip install accelerate==0.23.0
 pip install bitsandbytes scipy
 # configures OneAPI environment variables
 source /opt/intel/oneapi/setvars.sh # necessary to run before installing deepspeed

python/llm/example/GPU/LLM-Finetuning/QLoRA/simple-example/README.md

@@ -19,7 +19,6 @@ 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==4.36.0 datasets
 pip install peft==0.10.0
-pip install accelerate==0.23.0
 pip install bitsandbytes scipy
 ```
 

python/llm/example/GPU/LLM-Finetuning/QLoRA/trl-example/README.md

@@ -19,7 +19,6 @@ 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==4.36.0 datasets
 pip install peft==0.10.0
-pip install accelerate==0.23.0
 pip install bitsandbytes scipy trl
 ```
 

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

@@ -15,7 +15,6 @@ pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-exte
 pip install transformers==4.36.0 datasets
 pip install fire peft==0.10.0
 pip install oneccl_bind_pt==2.1.100 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/ # necessary to run distributed finetuning
-pip install accelerate==0.23.0
 pip install bitsandbytes scipy
 ```
 

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

@@ -132,7 +132,6 @@ pip install -e .
 # 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/
 # install transformers etc
-pip install accelerate==0.23.0
 # to avoid https://github.com/OpenAccess-AI-Collective/axolotl/issues/1544
 pip install datasets==2.15.0
 pip install transformers==4.37.0