A high-throughput and memory-efficient inference and serving engine for LLMs
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Synced Nov 14, 05:30 UTC
[CI/Build] Update Llama4 eval yaml (#27070)
Signed-off-by: zhewenli <zhewenli@meta.com>
Zhewen Li committed
Oct 16, 2025 at 21:59 UTC
9c2c2287a0767a86b44f9e1b2b1a31c72c20f9f8
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.buildkite/lm-eval-harness/configs/Meta-Llama-4-Maverick-17B-128E-Instruct-FP8-MM.yaml
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@@ -1,11 +1,12 @@
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# For hf script, without -t option (tensor parallel size).
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-# bash .buildkite/lm-eval-harness/run-lm-eval-chartqa-vllm-vlm-baseline.sh -m meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 -b 32 -l 100 -t 8
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+# bash .buildkite/lm-eval-harness/run-lm-eval-chartqa-vllm-vlm-baseline.sh -m meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 -l 100 -t 8
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model_name: "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8"
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backend: "vllm-vlm"
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tasks:
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- name: "chartqa"
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metrics:
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- name: "relaxed_accuracy,none"
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- value: 0.90
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+ # TODO(zhewenl): model card is 0.90, but the actual score is 0.80.
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+ value: 0.80
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limit: 100
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num_fewshot: 0
.buildkite/lm-eval-harness/configs/Meta-Llama-4-Maverick-17B-128E-Instruct-FP8.yaml
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@@ -1,7 +1,6 @@
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# For hf script, without -t option (tensor parallel size).
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-# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 -b 32 -l 250 -t 8 -f 5
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+# 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
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model_name: "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8"
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-backend: "vllm-vlm"
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tasks:
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- name: "mmlu_pro"
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metrics: