forked from phoenix-oss/llama-stack-mirror
feat: [New Eval Benchamark] IfEval (#1708)
# What does this PR do? In this PR, we added a new eval open benchmark IfEval based on paper https://arxiv.org/abs/2311.07911 to measure the model capability of instruction following. ## Test Plan spin up a llama stack server with open-benchmark template run `llama-stack-client --endpoint xxx eval run-benchmark "meta-reference-ifeval" --model-id "meta-llama/Llama-3.3-70B-Instruct" --output-dir "/home/markchen1015/" --num-examples 20` on client side and get the eval aggregate results
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@ -52,6 +52,7 @@ jobs:
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# always test against the latest version of the client
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uv pip install git+https://github.com/meta-llama/llama-stack-client-python.git@main
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uv pip install -e .
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llama stack build --template ollama --image-type venv
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- name: Wait for Ollama to start
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run: |
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