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Polish production README
CI
#21:
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1m 29s
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Add A100 vLLM benchmark evidence
CI
#20:
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Proxy paged completions without validation
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#19:
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Reuse vLLM upstream connections
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#18:
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Add vLLM paged attention backend
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#17:
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Add fast stream text benchmark mode
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#16:
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Add batched bulk generation benchmark mode
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#15:
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Materialize old HF cohorts before prefill
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#14:
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Guard HF cohort cache for random prompts
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#13:
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Tune Lightning A100 benchmark defaults
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#12:
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Reuse stable HF decode cohorts
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#11:
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Fix random benchmark range ratio
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#10:
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Pin pyarrow for vLLM benchmark datasets
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#9:
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Run paired harness through bash
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#8:
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Use supported Python for Lightning GPU runs
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#7:
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Make Lightning runner non-interactive
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#6:
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Fix editable package discovery
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#5:
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Allow open-model Lightning benchmarks without HF token
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#4:
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Add GPU backend and Lightning vLLM benchmark harness
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#3:
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Add official vLLM comparison contract and gate
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#2:
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Build InferEngine continuous batching inference server
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#1:
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