Tencent / Tencent/AngelSlim

Result reproduction issue.

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@liusong1222 is already working on this.

Since Sep 6, 2025.

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Description

Hello, may I ask what the testing environment for qwen3-14b-eagle3 is? I used your dataset/alpaca/question.jsonl data for testing, but I was not able to reproduce the reported results of speedup 2.16x, τ3.13.
My environment: 2 × RTX 4090, sglang
Test script:
CUDA_VISIBLE_DEVICES=6,7 python3 -m sglang.launch_server
--model /models/Qwen3-14B
--speculative-algorithm EAGLE3
--speculative-draft-model-path /models/EAGLE3-Qwen3-14B
--speculative-num-steps 3
--speculative-eagle-topk 10
--speculative-num-draft-tokens 60
--mem-fraction-static 0.8
--attention-backend fa3
--tp 2
--log-requests-level 3
2>&1 | tee server.log
result:
Image

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