feat: [New Eval Benchamark] IfEval #1708
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## What does this PR do? add weighted_average aggreagtion function support for llamastack/llama-stack#1708
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# 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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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 20on client side and get the eval aggregate results