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1 # For hf script, without -t option (tensor parallel size).
2 # bash .buildkite/lm-eval-harness/run-lm-eval-mmlupro-vllm-baseline.sh -m meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 -l 250 -t 8 -f 5
3 model_name: "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8"
4 rocm_safetensors_load_strategy: prefetch
5 required_gpu_arch:
6 - gfx942
7 - gfx950
8 tasks:
9 - name: "mmlu_pro"
10 metrics:
11 - name: "exact_match,custom-extract"
12 value: 0.80
13 limit: 250 # will run on 250 * 14 subjects = 3500 samples
14 num_fewshot: 5
15 rtol: 0.05