Add OLMES L-Eval Benchmarking Scripts and Environment Validation

[hemanth346]

Pull Request Template

Description

• Implemented quick environment validation script (quick_validation.py) to check Python version, core libraries, device availability, and metric libraries.
• Created requirements.txt for necessary dependencies with version specifications.
• Developed run_validation.py to execute the OLMES L-Eval benchmarking tasks, including model loading, smoke tests, and metric verification.
• Added sample validation results in JSON format for reference.
• Introduced setup.sh script for easy environment setup using UV for dependency management.

Checklist

• I have added tests that prove my fix is effective or that my feature works.
• I have added necessary documentation (if applicable).
• My code follows the style guidelines, gitflow branching strategy, and naming conventions of this project [Contribution Guidelines](https://github.com/The-School-of-AI/LLM/tree/main/experiments/

Reviewers

• Reviewer 1: A member from your own team.
• Reviewer 2: A member from the repo owners team (@The-School-of-AI/llm-repo-owners).

Note: Every pull request requires atleast 2 reviewers/approvers before it can be merged.