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} | 20.18091 |
{
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} | 20.277496 |
End of preview. Expand
in Data Studio
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
模型性能评测
注意
- 请求数据prompt进行了脱敏，但prompt token长度等信息与真实数据保持一致；
- 由于prompt是随机生成的，会导致prefix cache无效；
- 不要设置stop token，直接生成到max tokens。
测试步骤
- 启动模型服务，默认模型服务提供了openai compatible http server, 以vllm为例：
python -m vllm.entrypoints.openai.api_server \
--served-model-name ./model \
--model ./model \
--port 8081 \
--host 0.0.0.0 \
--trust-remote-code \
--tensor-parallel-size 2
- 启动relayer，回放请求数据：cat tape1.jsonl | go run replay.go --endpoint http://localhost:8081/v1/completions --drop_rate=xx --speed=xx | tee result.jsonl
- 收集评测数据, python collect_result.py --keys first_token_latency total_latency < result.jsonl
测试数据集
- tape1.jsonl: 关注Total Latency p90，
- tape2.jsonl 关注First Token Latency p90，
参考评测结果
- 测试框架：vllm 0.5.3
- 测试模型：WeLM MoE 16B， tp2， dtype bf16
- 测试环境：2张L40，开启了prefix cache
tape1：
replayer 启动参数：
cat tape1.jsonl | go run replay.go --endpoint http://localhost:8081/v1/completions --speed=0.5 | tee result1.jsonl
统计结果：
python collect_result.py --keys first_token_latency total_latency < repalyer/result1.jsonl
- total latency p90: 1.094s
tape2
replayer 启动参数：
cat tape2.jsonl | go run replay.go --endpoint http://localhost:8081/v1/completions --speed=0.445 | tee result2.jsonl
统计结果：
python collect_result.py --keys first_token_latency total_latency < repalyer/result2.jsonl
- first token latency p90: 0.298s
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