OpenBMB / OpenBMB/UltraEval-Audio
qwen3-omni-3B等小参数量大模型推理
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 324
- Forks
- 27
- PR merge metrics
- No merged PRs in 30d
Description
使用小参数量进行推理时，尤其是ASR等任务，往往会输出一些额外的解释，不完全按prompt限定输出。这种大佬是怎么处理的？仅使用项目内的prompt是不行的，得不到你们给出的结果。
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Start by locating the ASR inference entry point and the project prompt used with qwen3-omni-3B, then reproduce the extra explanatory output and compare it with the expected ASR result. Done should include a reproducible handling or a documented explanation of how to obtain the stated results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- audio-video-rtc, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100