[Benchmark][Doc] Update throughput benchmark and README (#15998)
Signed-off-by: StevenShi-23 <shi.ziji.sm@gmail.com> Signed-off-by: Roger Wang <ywang@roblox.com> Co-authored-by: Roger Wang <ywang@roblox.com>
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@@ -51,6 +51,12 @@ become available.
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<td style="text-align: center;">✅</td>
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<td style="text-align: center;">✅</td>
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<td><code>likaixin/InstructCoder</code></td>
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</tr>
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<tr>
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<td><strong>HuggingFace-AIMO</strong></td>
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<td style="text-align: center;">✅</td>
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<td style="text-align: center;">✅</td>
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<td><code>AI-MO/aimo-validation-aime</code> , <code>AI-MO/NuminaMath-1.5</code>, <code>AI-MO/NuminaMath-CoT</code></td>
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</tr>
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<tr>
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<td><strong>HuggingFace-Other</strong></td>
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@@ -187,6 +193,17 @@ python3 vllm/benchmarks/benchmark_serving.py \
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--num-prompts 10
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```
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**`AI-MO/aimo-validation-aime`**
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``` bash
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python3 vllm/benchmarks/benchmark_serving.py \
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--model Qwen/QwQ-32B \
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--dataset-name hf \
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--dataset-path AI-MO/aimo-validation-aime \
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--num-prompts 10 \
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--seed 42
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```
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---
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## Example - Offline Throughput Benchmark
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@@ -278,6 +295,18 @@ python3 vllm/benchmarks/benchmark_throughput.py \
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--num-prompts 10
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```
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**`AI-MO/aimo-validation-aime`**
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```bash
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python3 benchmarks/benchmark_throughput.py \
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--model Qwen/QwQ-32B \
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--backend vllm \
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--dataset-name hf \
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--dataset-path AI-MO/aimo-validation-aime \
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--hf-split train \
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--num-prompts 10
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```
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### Benchmark with LoRA Adapters
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``` bash
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