sgl-project / sgl-project/SpecForge
[Question] Why Qwen3-30B-A3B eagle3 draft model accept rate is lower than Qwen3-8B?
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Description
I trained eagle3 draft model on a Chinese dataset for Qwen3-8B and Qwen3-30B-A3B, but Qwen3-30B-A3B-eagle3's accept rate is quite lower than Qwen3-8B-eagle3, got any explanation and advice, thanks.
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Research direction
The payload names no files, tests, or entry points. Start by comparing the Qwen3-8B and Qwen3-30B-A3B Eagle3 training configurations and acceptance-rate measurements; done means an evidence-backed explanation and concrete advice for the reported difference.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100