Initial commit: Hermes Agent Skills collection
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schema_version: "2.0"
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benchmark:
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models:
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items:
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- name: "vllm/REPLACE-MODEL-NAME"
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endpoint:
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urls: ["https://ENDPOINT/v1"]
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type: "chat"
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streaming: true
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datasets:
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default:
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- name: "synthetic_long"
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type: "synthetic"
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prompt_template:
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content: "Summarize the following text concisely: {{text}}"
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variables:
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- name: "text"
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values: [
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"artificial intelligence",
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"quantum computing",
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"blockchain technology",
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"climate change",
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"machine learning",
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"renewable energy"
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]
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strategy:
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type: "fixed"
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max_total_tokens: 1152 # input + output + padding
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input_tokens: 1024 # TARGET INPUT LENGTH: sweep 512 / 1024 / 2048 / 4096
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output_tokens: 128
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phases:
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- type: "concurrency"
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name: "prefill_stress"
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duration: 300 # 5 minutes
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sessions: 10 # fixed low concurrency
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tokenizer:
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name: "builtin"
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