| | --- |
| | title: LLM Inference Benchmark |
| | emoji: 🥇 |
| | colorFrom: green |
| | colorTo: indigo |
| | sdk: gradio |
| | app_file: app.py |
| | pinned: true |
| | license: apache-2.0 |
| | --- |
| | |
| | # Start the configuration |
| |
|
| | Most of the variables to change for a default leaderboard are in `src/env.py` (replace the path for your leaderboard) and `src/about.py` (for tasks). |
| |
|
| | Results files should have the following format and be stored as json files: |
| | ```json |
| | { |
| | "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. |
| |
|
| | # Code logic for more complex edits |
| |
|
| | You'll find |
| | - the main table' columns names and properties in `src/display/utils.py` |
| | - the logic to read all results and request files, then convert them in dataframe lines, in `src/leaderboard/read_evals.py`, and `src/populate.py` |
| | - the logic to allow or filter submissions in `src/submission/submit.py` and `src/submission/check_validity.py` |
