Enhance local mode support for LLM inference without model data

[pranavvm26]

Issue #, if available:
N/A

Description of changes:
Enhance local mode support for LLM inference without model data

• Current sagemaker py-sdk local model forces the requirement of model_data param which is not applicable to LLM inference (ex: DJL-LMI, HF-TGI, etc..) which downloads models based on ..MODEL_ID from hubs.
• Enhanced/updated docker compose structure when instance_type=local_gpu.

devices:                                                                    
   - capabilities:                                                             
     - gpu                                                                     
     count: all                                                                
     driver: nvidia

• Added test cases for local CPU based training, inference and processing.
• Added test cases for local GPU based HuggingFace TGI and DJL-LMI inference.

Testing done:

• Test local model for CPU processing, training and inference - test_local_mode_cpu_jobs.py
• Test local model for GPU llm inference with HF-TGI and DJL-LMI - test_local_mode_gpu_jobs.py

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