sgl-project / sgl-project/SpecForge
Poor Chinese Performance in EAGLE3 Model Due to Lack of Chinese Training Data
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- Dominant language
- Python
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Description
The EAGLE3 model provided by SpecBundle is very good, but it performs poorly in Chinese-language scenarios—likely because the training dataset lacks Chinese data. Consider adding Chinese datasets to the training set in future updates?
Contributor guide
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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
The issue identifies poor Chinese performance in the EAGLE3 model and suggests adding Chinese datasets to future training updates. No files, tests, dataset sources, or training entry points are specified, so start by locating the EAGLE3 training configuration and current dataset definitions. Done would require an agreed Chinese-data plan and evidence that updated training improves Chinese-language evaluation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100