OpenEuroLLM / OpenEuroLLM/Taskboard
Support OpenJury & Evalchemy in evals
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Description
Add support in https://github.com/OpenEuroLLM/multi-cluster-eval to run evaluations from https://github.com/mlfoundations/evalchemy/
In particular, we should make sure that at least Alpaca-Eval with a local model judge served with vllm works, e.g. to make sure that we have a good workflow to run this:
python -m eval.eval \
--model vllm \
--tasks alpaca_eval \
--model_args "pretrained=meta-llama/Meta-Llama-3-8B-Instruct" \
--batch_size 16 \
--output_path logs
(we may want to start by just exposing a clear way to do this with the output paths specified from environment variables rather than having a CLI to schedule such evals)
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- Read the whole issue, then the project's contributing guide.
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Research direction
Start by reviewing the multi-cluster-eval repository and the evalchemy invocation shown in the issue, including how evaluation output paths are handled. Verify the Alpaca-Eval workflow with a local model judge served by vLLM; done means the evaluation can run with output paths supplied through environment variables or a clearly documented scheduling interface.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100