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Runtime error
| title: Backend | |
| emoji: 🥇 | |
| colorFrom: green | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 4.4.0 #19.2 | |
| 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. |