metadata
title: Backend
emoji: 🥇
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 4.4.0
app_file: app.py
pinned: true
license: apache-2.0
Most of the variables to change for a default leaderboard are in src/env (replace the path for your leaderboard) and src/about.
Results files should have the following format:
{
"config": {
"model_dtype": "torch.float16", # or torch.bfloat16 or 8bit or 4bit
"model_name": "path of the model on the hub: org/model",
"model_sha": "revision on the hub",
},
"results": {
"task_name": {
"metric_name": score,
},
"task_name2": {
"metric_name": score,
}
}
}
Request files are created automatically by this tool.
If you encounter problem on the space, don't hesitate to restart it to remove the create eval-queue, eval-queue-bk, eval-results and eval-results-bk created folder.
If you want to run your own backend, you only need to change the logic in src/backend/run_eval_suite_..., which at the moment launches the Eleuther AI Harness or Lighteval, and edit the app.py to point to the correct file.