Update ipex-llm default transformers version to 4.37.0 (#11859)

* Update default transformers version to 4.37.0

* Add dependency requirements for qwen and qwen-vl

* Temp fix transformers version for these not yet verified models

* Skip qwen test in UT for now as it requires transformers<4.37.0

python/llm/example/CPU/HF-Transformers-AutoModels/Model/qwen-vl/README.md

@@ -20,6 +20,7 @@ conda activate llm
 # install the latest ipex-llm nightly build with 'all' option
 pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
 
+pip install "transformers<4.37.0"
 pip install accelerate tiktoken einops transformers_stream_generator==0.0.4 scipy torchvision pillow tensorboard matplotlib # additional package required for Qwen-VL-Chat to conduct generation
 
 ```
@@ -32,6 +33,7 @@ conda activate llm
 
 pip install --pre --upgrade ipex-llm[all]
 
+pip install "transformers<4.37.0"
 pip install accelerate tiktoken einops transformers_stream_generator==0.0.4 scipy torchvision pillow tensorboard matplotlib
 
 ```

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

@@ -22,6 +22,8 @@ conda activate llm
 
 # install the latest ipex-llm nightly build with 'all' option
 pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
+
+pip install "transformers<4.37.0"
 pip install tiktoken einops transformers_stream_generator  # additional package required for Qwen-7B-Chat to conduct generation
 ```
 
@@ -32,6 +34,8 @@ conda create -n llm python=3.11
 conda activate llm
 
 pip install --pre --upgrade ipex-llm[all]
+
+pip install "transformers<4.37.0"
 pip install tiktoken einops transformers_stream_generator
 ```
 

python/llm/example/CPU/PyTorch-Models/Model/qwen-vl/README.md

@@ -19,6 +19,8 @@ conda activate llm
 
 # install the latest ipex-llm nightly build with 'all' option
 pip install --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
+
+pip install "transformers<4.37.0"
 pip install accelerate tiktoken einops transformers_stream_generator==0.0.4 scipy torchvision pillow tensorboard matplotlib # additional package required for Qwen-VL-Chat to conduct generation
 ```
 
@@ -29,6 +31,8 @@ conda create -n llm python=3.11
 conda activate llm
 
 pip install --pre --upgrade ipex-llm[all]
+
+pip install "transformers<4.37.0"
 pip install accelerate tiktoken einops transformers_stream_generator==0.0.4 scipy torchvision pillow tensorboard matplotlib
 ```
 

python/llm/example/GPU/HuggingFace/LLM/qwen/README.md

@@ -15,6 +15,7 @@ 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 "transformers<4.37.0"
 pip install tiktoken einops transformers_stream_generator  # additional package required for Qwen-7B-Chat to conduct generation
 ```
 
@@ -27,6 +28,7 @@ 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 "transformers<4.37.0"
 pip install tiktoken einops transformers_stream_generator  # additional package required for Qwen-7B-Chat to conduct generation
 ```
 

python/llm/example/GPU/HuggingFace/Multimodal/qwen-vl/README.md

@@ -15,6 +15,7 @@ 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 "transformers<4.37.0"
 pip install accelerate tiktoken einops transformers_stream_generator==0.0.4 scipy torchvision pillow tensorboard matplotlib # additional package required for Qwen-VL-Chat to conduct generation
 ```
 
@@ -27,6 +28,7 @@ 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 "transformers<4.37.0"
 pip install accelerate tiktoken einops transformers_stream_generator==0.0.4 scipy torchvision pillow tensorboard matplotlib # additional package required for Qwen-VL-Chat to conduct generation
 ```
 

python/llm/example/GPU/HuggingFace/Multimodal/voiceassistant/README.md

@@ -17,6 +17,7 @@ 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 transformers==4.36.2
 pip install librosa soundfile datasets
 pip install accelerate
 pip install SpeechRecognition sentencepiece colorama
@@ -33,6 +34,7 @@ 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 transformers==4.36.2
 pip install librosa soundfile datasets
 pip install accelerate
 pip install SpeechRecognition sentencepiece colorama

python/llm/example/GPU/HuggingFace/Multimodal/whisper/readme.md

@@ -16,6 +16,7 @@ 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 transformers==4.36.2
 pip install datasets soundfile librosa # required by audio processing
 ```
 
@@ -28,6 +29,7 @@ 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 transformers==4.36.2
 pip install datasets soundfile librosa # required by audio processing
 ```
 

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

@@ -16,7 +16,6 @@ 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 einops # install dependencies required by llava
-pip install transformers==4.36.2
 
 git clone https://github.com/haotian-liu/LLaVA.git # clone the llava libary
 cp generate.py ./LLaVA/ # copy our example to the LLaVA folder
@@ -34,7 +33,6 @@ 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 einops # install dependencies required by llava
-pip install transformers==4.36.2
 
 git clone https://github.com/haotian-liu/LLaVA.git # clone the llava libary
 copy generate.py .\LLaVA\ # copy our example to the LLaVA folder

python/llm/example/GPU/PyTorch-Models/Model/qwen-vl/README.md

@@ -15,6 +15,7 @@ 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 "transformers<4.37.0"
 pip install accelerate tiktoken einops transformers_stream_generator==0.0.4 scipy torchvision pillow tensorboard matplotlib # additional package required for Qwen-VL-Chat to conduct generation
 ```
 
@@ -27,6 +28,7 @@ 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 "transformers<4.37.0"
 pip install accelerate tiktoken einops transformers_stream_generator==0.0.4 scipy torchvision pillow tensorboard matplotlib # additional package required for Qwen-VL-Chat to conduct generation
 ```
 

python/llm/example/GPU/PyTorch-Models/Model/speech-t5/README.md

@@ -15,6 +15,7 @@ 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 transformers==4.36.2
 pip install "datasets<2.18" soundfile # additional package required for SpeechT5 to conduct generation
 ```
 
@@ -27,6 +28,7 @@ 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 transformers==4.36.2
 pip install "datasets<2.18" soundfile # additional package required for SpeechT5 to conduct generation
 ```
 

python/llm/setup.py

@@ -53,7 +53,7 @@ libs_dir = os.path.join(llm_home, "ipex_llm", "libs")
 
 cpu_torch_version = ["torch==2.1.2+cpu;platform_system=='Linux'", "torch==2.1.2;platform_system=='Windows'"]
 CONVERT_DEP = ['numpy == 1.26.4', # lastet 2.0.0b1 will cause error
-               'transformers == 4.36.2', 'sentencepiece', 'tokenizers == 0.15.2',
+               'transformers == 4.37.0', 'sentencepiece', 'tokenizers == 0.15.2',
                'accelerate == 0.23.0', 'tabulate'] + cpu_torch_version
 
 SERVING_DEP = ['fschat[model_worker, webui] == 0.2.36', 'protobuf']

python/llm/test/inference_gpu/test_transformers_api.py

@@ -36,7 +36,7 @@ print(f'Running on {device}')
     (AutoModelForCausalLM, AutoTokenizer, os.environ.get('MPT_7B_ORIGIN_PATH')),
     # (AutoModelForCausalLM, AutoTokenizer, os.environ.get('MISTRAL_7B_INSTRUCT_V0_1_ORIGIN_PATH')),
     # (AutoModelForCausalLM, AutoTokenizer, os.environ.get('BAICHUAN2_7B_ORIGIN_PATH')),
-    # (AutoModelForCausalLM, AutoTokenizer, os.environ.get('QWEN_7B_ORIGIN_PATH')),
+    # (AutoModelForCausalLM, AutoTokenizer, os.environ.get('QWEN_7B_ORIGIN_PATH')), # qwen requires transformers<4.37.0
     ])
 def test_completion(Model, Tokenizer, model_path, prompt, answer):
     with torch.inference_mode():

python/llm/test/inference_gpu/test_transformers_api_RMSNorm.py

@@ -32,7 +32,7 @@ TEST_MODEL_LIST = [
     ("ChatGLM2-6B", AutoModel, AutoTokenizer, os.environ.get('CHATGLM2_6B_ORIGIN_PATH')),
     ("Mistral-7B-Instruct-v0.1", AutoModelForCausalLM, AutoTokenizer, os.environ.get('MISTRAL_7B_INSTRUCT_V0_1_ORIGIN_PATH')),
     ("Baichuan2-7B-Chat", AutoModelForCausalLM, AutoTokenizer, os.environ.get('BAICHUAN2_7B_ORIGIN_PATH')),
-    ("Qwen-7B-Chat", AutoModelForCausalLM, AutoTokenizer, os.environ.get('QWEN_7B_ORIGIN_PATH')),
+    # ("Qwen-7B-Chat", AutoModelForCausalLM, AutoTokenizer, os.environ.get('QWEN_7B_ORIGIN_PATH')), # qwen requires transformers<4.37.0
 ]
 
 class Test_Optimize_Gpu_Model:

python/llm/test/inference_gpu/test_transformers_api_attention.py

@@ -34,7 +34,7 @@ TEST_MODEL_LIST = [
     ("ChatGLM2-6B", AutoModel, AutoTokenizer, os.environ.get('CHATGLM2_6B_ORIGIN_PATH')),
     ("Mistral-7B-Instruct-v0.1", AutoModelForCausalLM, AutoTokenizer, os.environ.get('MISTRAL_7B_INSTRUCT_V0_1_ORIGIN_PATH')),
     ("Baichuan2-7B-Chat", AutoModelForCausalLM, AutoTokenizer, os.environ.get('BAICHUAN2_7B_ORIGIN_PATH')),
-    ("Qwen-7B-Chat", AutoModelForCausalLM, AutoTokenizer, os.environ.get('QWEN_7B_ORIGIN_PATH')),
+    # ("Qwen-7B-Chat", AutoModelForCausalLM, AutoTokenizer, os.environ.get('QWEN_7B_ORIGIN_PATH')), # qwen requires transformers<4.37.0
 ]
 
 class Test_Optimize_Gpu_Model:

python/llm/test/inference_gpu/test_transformers_api_mlp.py

@@ -27,7 +27,7 @@ print(f'Running on {device}')
 
 PROMPT = "Once upon a time, there existed a little girl who liked to have adventures. She wanted to go to places and meet new people, and have fun"
 TEST_MODEL_LIST = [
-    ("Qwen-7B-Chat", AutoModelForCausalLM, AutoTokenizer, os.environ.get('QWEN_7B_ORIGIN_PATH')),
+    # ("Qwen-7B-Chat", AutoModelForCausalLM, AutoTokenizer, os.environ.get('QWEN_7B_ORIGIN_PATH')), # qwen requires transformers<4.37.0
     ("Mistral-7B-Instruct-v0.1", AutoModelForCausalLM, AutoTokenizer, os.environ.get('MISTRAL_7B_INSTRUCT_V0_1_ORIGIN_PATH')),
     ("Llama2-7B", AutoModelForCausalLM, LlamaTokenizer, os.environ.get('LLAMA2_7B_ORIGIN_PATH'))
 ]