jd-opensource / jd-opensource/JoyAI-VL-Interaction
基模为什么选择Qwen3+Qwen3-VL ViT的结构
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- Dominant language
- Python
- Stars
- 1.9k
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- No merged PRs in 30d
Description
你好，请问训练的基模JoyAI-VL 1.0为什么要使用Qwen3-8B的语言模型+Qwen3-VL的ViT呢？为什么不直接使用Qwen3-VL-8B呢？
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no file, test, or entry point. Start by reviewing the repository's model architecture documentation and configuration, if present, and compare the stated Qwen3 plus Qwen3-VL ViT design with Qwen3-VL-8B; done means documenting the rationale and trade-offs clearly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100