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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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| .. | ||
| bedrock | ||
| cerebras | ||
| dell-tgi | ||
| fireworks | ||
| meta-reference-gpu | ||
| meta-reference-quantized-gpu | ||
| ollama | ||
| remote-nvidia | ||
| remote-vllm | ||
| runpod | ||
| sambanova | ||
| tgi | ||
| together | ||
| vllm-gpu | ||
| dependencies.json | ||