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Merge pull request #110 from opendatahub-io/sync-release-with-main
Sync release with main for RHOAI 2.12
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.buildkite/download-images.sh

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# bash ./run-lm-eval-gsm-vllm-baseline.sh -m deepseek-ai/DeepSeek-V2-Lite-Chat -b "auto" -l 1000 -f 5 -t 2
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model_name: "deepseek-ai/DeepSeek-V2-Lite-Chat"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.671
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- name: "exact_match,flexible-extract"
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value: 0.664
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limit: 1000
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num_fewshot: 5
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-hf-baseline.sh -m nm-testing/Meta-Llama-3-70B-Instruct-FBGEMM-nonuniform -b auto -l 1000 -f 5
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model_name: "nm-testing/Meta-Llama-3-70B-Instruct-FBGEMM-nonuniform"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.905
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- name: "exact_match,flexible-extract"
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value: 0.905
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limit: 1000
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num_fewshot: 5
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-hf-baseline.sh -m meta-llama/Meta-Llama-3-70B-Instruct -b 32 -l 250 -f 5
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model_name: "meta-llama/Meta-Llama-3-70B-Instruct"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.892
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- name: "exact_match,flexible-extract"
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value: 0.892
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limit: 250
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num_fewshot: 5
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensors -b auto -l 1000 -f 5 -t 1
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model_name: "nm-testing/Meta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensors"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.752
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- name: "exact_match,flexible-extract"
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value: 0.754
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limit: 1000
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num_fewshot: 5
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-Instruct-FBGEMM-nonuniform -b auto -l 1000 -f 5 -t 1
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model_name: "nm-testing/Meta-Llama-3-8B-Instruct-FBGEMM-nonuniform"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.753
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- name: "exact_match,flexible-extract"
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value: 0.753
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limit: 1000
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num_fewshot: 5
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test -b 32 -l 1000 -f 5 -t 1
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model_name: "nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.755
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- name: "exact_match,flexible-extract"
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value: 0.755
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limit: 1000
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num_fewshot: 5
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m neuralmagic/Meta-Llama-3-8B-Instruct-FP8 -b 32 -l 250 -f 5 -t 1
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model_name: "neuralmagic/Meta-Llama-3-8B-Instruct-FP8"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.753
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- name: "exact_match,flexible-extract"
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value: 0.753
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limit: 1000
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num_fewshot: 5
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-Instruct-W8-Channel-A8-Dynamic-Per-Token-Test -b "auto" -l 250 -f 5 -t 1
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model_name: "nm-testing/Meta-Llama-3-8B-Instruct-W8-Channel-A8-Dynamic-Per-Token-Test"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.728
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- name: "exact_match,flexible-extract"
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value: 0.728
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limit: 250
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num_fewshot: 5
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-Instruct-nonuniform-test -b auto -l 1000 -f 5 -t 1
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model_name: "nm-testing/Meta-Llama-3-8B-Instruct-nonuniform-test"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.758
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- name: "exact_match,flexible-extract"
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value: 0.759
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limit: 1000
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num_fewshot: 5

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