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Need to reserve all 8 gpus for reliable performance benchmark, even if you only use 1
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@ -1020,8 +1020,8 @@ async def main():
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default="allenai/olmOCR-7B-0225-preview",
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)
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parser.add_argument("--model_max_context", type=int, default="8192", help="Maximum context length that the model was fine tuned under")
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parser.add_argument("--target_longest_image_dim", type=int, help="Dimension on longest side to use for rendering the pdf pages", default=1024)
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parser.add_argument("--target_anchor_text_len", type=int, help="Maximum amount of anchor text to use (characters)", default=3000)
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parser.add_argument("--target_longest_image_dim", type=int, help="Dimension on longest side to use for rendering the pdf pages", default=1280)
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parser.add_argument("--target_anchor_text_len", type=int, help="Maximum amount of anchor text to use (characters)", default=-1)
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parser.add_argument("--guided_decoding", action="store_true", help="Enable guided decoding for model YAML type outputs")
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# Beaker/job running stuff
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@ -181,7 +181,7 @@ perf_task_spec_args = {
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priority=Priority.normal,
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preemptible=True,
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),
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"resources": TaskResources(gpu_count=1),
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"resources": TaskResources(gpu_count=8),
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"constraints": Constraints(cluster=["ai2/ceres-cirrascale", "ai2/jupiter-cirrascale-2"]),
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"result": ResultSpec(path="/noop-results"),
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}
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