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--- |
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title: Demo Leaderboard |
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emoji: 🥇 |
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colorFrom: green |
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colorTo: indigo |
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sdk: gradio |
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sdk_version: 4.4.0 |
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app_file: app.py |
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pinned: true |
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license: apache-2.0 |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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Most of the variables to change for a default leaderboard are in src/env (replace the path for your leaderboard) and src/about. |
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Results files should have the following format: |
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``` |
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{ |
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"config": { |
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"model_dtype": "torch.float16", # or torch.bfloat16 or 8bit or 4bit |
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"model_name": "path of the model on the hub: org/model", |
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"model_sha": "revision on the hub", |
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}, |
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"results": { |
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"task_name": { |
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"metric_name": score, |
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}, |
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"task_name2": { |
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"metric_name": score, |
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} |
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} |
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} |
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``` |
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Request files are created automatically by this tool. |
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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. |
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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. |
