# ML.ENERGY Leaderboard

## Devs

Currently setup in `ampere02`:

1. Find model weights in `/data/leaderboard/weights/`, e.g. subdirectory `llama` and `vicuna`.

2. Let's share the Huggingface Transformer cache:

```bash
export TRANSFORMERS_CACHE=/data/leaderboard/hfcache
```

Run benchmarks like this:

```console
$ docker build -t leaderboard:latest .
$ docker run -it --name jw-leaderboard --gpus all --cap-add SYS_ADMIN -v /data/leaderboard:/data/leaderboard -v $HOME/workspace/leaderboard:/workspace/leaderboard leaderboard:latest bash

# cd leaderboard
# python benchmark.py --model-path /data/leaderboard/weights/lmsys/vicuna-7B --input-file /data/leaderboard/sharegpt/sg_90k_part1_html_cleaned_lang_first_sampled.json
# python benchmark.py --model-path databricks/dolly-v2-12b --input-file /data/leaderboard/sharegpt/sg_90k_part1_html_cleaned_lang_first_sampled.json
```