Update PyTorch to 2.7.1+cpu, Torchvision to 0.22.1+cpu, and Python Requirement to >=3.9

[abukhoy]

This PR updates the following dependencies to their latest CPU-only versions:

• PyTorch: 2.7.1+cpu
• Torchvision: 0.22.1+cpu

Additionally, it updates the Python version requirement to:

• Python: >=3.9

Reference: https://pytorch.org/get-started/previous-versions/

Testing

• Multimodal Example Scripts have been tested successfully, such as Llama4, gemma3, whisper, granite vision, intern, mLlama.

• The following Causal models have been tested and verified to work correctly with the updated dependencies:

• DeepSeek-R1-Distill-Qwen-32B

• EleutherAI/gpt-j-6b

• OpenGVLab/InternVL2_5-1B

• bigcode/starcoder

• bigcode/starcoder2-15b

• codellama/CodeLlama-13b-hf

• codellama/CodeLlama-34b-hf

• codellama/CodeLlama-7b-hf

• google/codegemma-2b

• google/codegemma-7b

• google/gemma-2-27b

• google/gemma-2-2b

• google/gemma-2-9b

• google/gemma-2b

• google/gemma-7b

• ibm-granite/granite-20b-code-base-8k

• ibm-granite/granite-20b-code-instruct-8k

• ibm-granite/granite-3.1-8b-instruct

• ibm-granite/granite-guardian-3.1-8b

• inceptionai/jais-adapted-13b-chat

• inceptionai/jais-adapted-7b

• lmsys/vicuna-13b-delta-v0

• lmsys/vicuna-13b-v1.3

• lmsys/vicuna-13b-v1.5

• meta-llama/Llama-2-13b-chat-hf

• meta-llama/Llama-2-7b-chat-hf

• meta-llama/Llama-3.1-8B

• meta-llama/Llama-3.2-1B

• meta-llama/Llama-3.2-3B

• meta-llama/Meta-Llama-3-8B

• microsoft/Phi-3-mini-4k-instruct

• mistralai/Codestral-22B-v0.1

• mistralai/Mistral-7B-Instruct-v0.1

• mistralai/Mixtral-8x7B-Instruct-v0.1

• mistralai/Mixtral-8x7B-v0.1

• mosaicml/mpt-7b

• openai-community/gpt2

• tiiuae/falcon-40b

• Qwen/Qwen2-1.5B-Instruct

• deepseek-ai/DeepSeek-R1-Distill-Llama-70B

• meta-llama/Meta-Llama-3-70B

• meta-llama/Llama-2-70b-chat-hf

• inceptionai/jais-adapted-70b

• meta-llama/Llama-3.1-70B

[quic-hemagnih]

Lets run CI and all the models manually which are not currently covered under CI. Once all are passing then we can go ahead and merge it.

[quic-hemagnih]

Where are we on this PR?, Have we executed all the CI test cases and models which are not covered in CI?

[abukhoy]

Where are we on this PR?, Have we executed all the CI test cases and models which are not covered in CI?

Few Vision-Language Models are remaining to test such as Llama4 and Gemma3, these are getting tested as these are big models getting machine issue sometimes. Although these are present in CI with single or double layer, but I am testing full models locally.

[quic-hemagnih]

Can we run all the models with 2.7.0 pytorch, and then plan to merge

[abukhoy]

Addressing this change to #542