Evaluate and submit AI model results for Frugal AI Challenge
Measure execution times of BERT models using WebGPU and WASM
Create and upload a Hugging Face model card
Upload a machine learning model to Hugging Face Hub
Explore and submit models using the LLM Leaderboard
View LLM Performance Leaderboard
Download a TriplaneGaussian model checkpoint
Compare code model performance on benchmarks
Calculate VRAM requirements for LLM models
Benchmark AI models by comparison
Display and submit language model evaluations
Track, rank and evaluate open LLMs and chatbots
Generate and view leaderboard for LLM evaluations
Submission Portal is a web-based platform designed to evaluate and submit AI model results for the Frugal AI Challenge. It serves as a centralized hub for participants to upload their model outputs, benchmark performance, and compare results with others in a transparent and standardized manner. The portal streamlines the submission process and provides a seamless experience for participants to showcase their AI solutions.
• Secure Submission Environment: Upload your model results securely and efficiently.
• Benchmarking Tools: Compare your model's performance against industry standards and other submissions.
• Real-Time Feedback: Receive immediate feedback on your submission to identify areas for improvement.
• Comprehensive Analytics: Access detailed analytics and visualizations of your model's performance.
• Submission Tracking: Monitor the status of your submissions and view past results.
What is the purpose of Submission Portal?
Submission Portal is designed to facilitate the submission and evaluation of AI model results for the Frugal AI Challenge, enabling participants to benchmark their solutions effectively.
How do I format my model results for submission?
Formatting guidelines are provided on the portal’s homepage. Ensure your results comply with these specifications to avoid submission issues.
Can I submit multiple results for the same model?
Yes, you can submit multiple iterations of your model’s results. Each submission will be treated as a separate entry for benchmarking purposes.